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LOGIC DESIGN
EENG 210/CS 230/Phys 319
section 02
Dr. Ihab Talkhan
1
AMERICAN UNIVERSITY IN CAIRO
School of Sciences & Engineering
EE Department
EENG 210/PHYS 319 / CS 230
Introduction to Logic Design
Group 02 – MW – SPRING 2006 (New Falaki Building, Room 810)
Catalog Description:
Digital Logic Design, same as CS 230 & Phys 319. The nature of digital logic,
numbering system, Boolean algebra, karnaugh maps, decision –making
elements, memory elements, latches, flip-flops, design of combinational and
sequential circuits, integrated circuits and logic families, shift registers, counters
and combinational circuits, adders, substraters ,multiplication and division circuits,
memory types. Exposure to logic design automation software.
Credit: 3 hours
Text book: M. Morris Mano, “ Digital Design” , third edition, Prentice Hall, 2002
References:
•M. Mano and C. R. Kime , “Logic and Computer Design Fundamentals”, Prentice
Hall, 2000.
•Daniel Gajski, “Principles of Digital Design”, Prentice Hall, 1997.
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Dr. Ihab Talkhan
Coordinator:
Instructor:
Prof. Hassanein Amer, Associate Professor, EE Department.
Dr. Ihab E. Talkhan, Associate Professor, EE Department.
This course is designed to introduce the student to the basic techniques
of design and analysis of digital circuits
Prerequisites:
1) Phys 215 (option)
2) CSCI 104 or 106
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Dr. Ihab Talkhan
Course contents:
#
Title
1
Number Systems, 1’s and 2’s complements
2
Basic Gates
3
Boolean Algebra
4
5
6
7
8
9
10
11
Assignments
All
assignments
Analysis of Combinational Circuits
are selected
Synthesis of Combinational Circuits using Karnaugh maps
from the main
text book
NAND/NOR networks, don’t care conditions, duality
end-of
Design Automation Software (PSPICE A/D)
chapter
Latches and Flip-Flops
problems,
problems #
Design of clocked sequential circuits using counters as examples
will be
Shift registers and different types of counters
announced in
Multiplexers, demultiplexers, decoders, encoders and parity
lectures
circuits
12
Arithmetic circuits
13
Semiconductor memories
14
Design of circuits using ROMs and PLAs
15
Introduction to FPGAs , VHDL
Dr. Ihab Talkhan
4
 Grading:








Testing dates:
Final test date:
Assistant:
Office hours:
Office hours:
60% (best 2 out of 3 tests - no make-ups)
30% Final test
5% Attendance
5% Assignments (selected problems from
the text book)
to be announced later
refer to FALL 2005 Schedule
Eng. Marianne Azer,
to be announced later (Assistant)
W 1:30 – 2:30 pm, (Dr. Talkhan)
M 1:30 – 2:30 pm
room 717 Falaki Academic Center.
italkhan@aucegypt.edu
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Dr. Ihab Talkhan
System Flow Diagram
Plan
Assess
Run
Design
Verify
Verify
Imple
ment
Verify
Verify
Verify
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Design Cycle
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The Packaging Sequence
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ASIC Design Flow
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Course Outline
Course Outline
Digital Circuits
Digital Design
Analysis & Design
Hardware & Microprogram method
•Gates
•Register Transfer Level
•Flip-Flops
•Various components of a
•Combinational
•Sequential
computer Hardware
•Control Logic
Hardware Components
•CPU (Central Processing
Unit)
•I/O
•Memory
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Dr. Ihab Talkhan
Binary Logic
AND
OR
-Represented by any of
the following notations:
-Represented by any of
the following notations:
NOT
(inverter)
-Represented by a bar
over the variable
•
X .AND. Y
•
X .OR. Y
•
X.Y
•
X+Y
-Function definition:
•
XY
•
XvY
Z is what X is not
-Function definition:
Z = 1 only if X=Y=1
0 otherwise
-Function definition:
Z = 1 if X=1 or Y =1
or both X=Y=1
•
X
-It is also called
complement operation ,
as it changes 1’s to 0’s
and 0’s to 1’s.
0 if X=Y=0
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Dr. Ihab Talkhan
Binary Logic
AND
OR
NOT
(inverter)
-Symbol:
-Symbol
-Symbol
-Truth Table
-Truth Table
-Truth Table
X
Y
Z
X
Y
Z
0
0
1
1
0
1
0
1
0
0
0
1
0
0
1
1
0
1
0
1
0
1
1
1
X
Z
0
1
1
0
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Dr. Ihab Talkhan
Important Notes
 Various binary systems suitable for representing
information in digital components [ decimal &
Alphanumeric].
 Digital system has a property of manipulating discrete
elements of information, discrete information is
contained in any set that is restricted to a finite
number of elements, e.g. 10 decimal digits, the 26
letters of the alphabet, 25 playing cards, and other
discrete quantities.
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Dr. Ihab Talkhan
Important Notes (cont.)
 Early digital computers were used mostly for numeric
computations, in this case the discrete elements used
were the digits, from which the term digital computer
has emerged.
 Discrete elements of information are represented in a
digital system by physical quantities called signal
[voltages & currents] which have only two discrete
values and are said to be binary.
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Dr. Ihab Talkhan
 Electrical Signals [ voltages or currents ] that exist throughout
a digital system is in either of two recognizable values [ logic1 or logic 0 ]
Voltage
5
Intermediate
region,
crossed only
during state
transition
Logic – 1 range
2
Transition , occurs
between the two limits
0.8
Logic – 0 range
0
time
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Important Notes (cont.)
 Digital computers use the binary number system that has two
digits “0” and “1”, a binary digit is called a “bit”, thus
information is represented in digital computers in groups of
bits.
 By using various coding technique, groups of bits can be made
to represent not only binary numbers but also any other group
of discrete symbols.
 To simulate a process in a digital computer, the quantities must
be quantized, i.e. a process whose variables are presented by
continuous real-time signals needs its signals to be quantized
using an analog-to-digital (A/D) conversion device.
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Dr. Ihab Talkhan
Memory or Storage Unit
CPU
Central Processing Unit
Control
Unit
Processor
Unit
Input devices
Output devices
Block Diagram of a Digital Computer
 The memory unit: stores
programs, inputs, outputs and
other intermediate data.
 The processor unit: performs
arithmetic and other dataprocessing operations as
specified by the program.
 The control unit: supervises
the flow of information
between the various units. It
also retrieves the instructions,
one by one, from the program
stored in memory and informs
the processor to execute them
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Dr. Ihab Talkhan
Important Notes (cont.)
 A CPU enclosed in a small integrated circuit package
is called a microprocessor.
 The program and data prepared by the user are
transferred into the memory unit by means of an input
devices such as a keyboard.
 An output device, such as a printer, receives the
results of the computations and the printed results are
presented to the user.
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Numbering Systems
 A number is base “r” contains r digits 0,1,2,…..(r-1) and is
expressed with a power series in “r”.
An r n  An 1r n 1  ....  A1r 1  Ao r o  A1r 1  A 2 r 2  ...
 A number can also be expressed by a string of coefficients
[positional notation].
Least significant digit
Most significant digit
An An 1.... A1 Ao . A1 A2 ...
Radix point
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Dr. Ihab Talkhan
Numbering Systems (cont.)
 The Ai coefficients contain “r” digits, and the
subscript “ i ” gives the position of the coefficient,
hence the weight ri by which the coefficient must be
multiplied.
 To distinguish between numbers of different bases,
we enclose the coefficients in parentheses and place a
subscript after the right parenthesis to indicate the
base of the number.
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Dr. Ihab Talkhan
Decimal Numbers
 The decimal number system is of base or radix r = 10, because
the coefficients are multiplied by powers of 10 and the system
uses ten distinct digits [0,1,2,…9].
 Decimal number is represented by a string of digits, each digit
position has an associated value of an integer raised to the power
of 10.
 Consider the number (724.5)10
724.5  7 10 2  2 101  4 100  5 10 1
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Dr. Ihab Talkhan
Conversion from Any numbering System
to Decimal System
 To convert any numbering system to decimal, you expand
the number to a power series with its base.
 Example:
 Convert (312)5 to its equivalent decimal, note that the number is in
base 5.
312.45  3  5
Radix 5
2
 1 5  2  5  4  5
1
 75  5  2  0.8
 82.810
0
1
Conversion
from base 5
number to its
equivalent
decimal
number
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Dr. Ihab Talkhan
Computer Numbering Systems
Binary
Base 2
Octal
Base 8
- It is a base 2 system
with two digits “0” &
“1”
- It is a base 8 system
with eight digits from
0-7
- The
decimal
equivalent can be
found by expanding
the binary number to
a power series with a
base of 2.
- The
decimal
equivalent can be
found by expanding
the Octal number to a
power series with a
base of 8.
Hexadecimal
Base 16
- It is a base 16 system
with sixteen digits
from 0 – 9 plus
A,B,C,D,E,F
letters
from the alphabet.
- The
decimal
equivalent can be
found by expanding
the
Hexadecimal
number to a power
series with a base of
16.
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Dr. Ihab Talkhan
Binary Numbers
 Converting a Binary number to its equivalent
Decimal:
(11010.11)2
11010.112  1 2 4  1 23  0  22  1 21  0  20  1 21  1 22
 16 8  2  0.5  0.25
 26.7510
Note that, when a bit is equal to “0”, it does not contribute to the sum
during the conversion. Therefore, the conversion to decimal can be
obtained by adding the numbers with powers of two corresponding to
the bits that are equal to “1’.
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Dr. Ihab Talkhan
Computer Units
 210 = 1024 is referred to as Kilo “K”
 220 = 1,048,567 is referred to as Mega “M”
 230 is referred to as Giga “G”
 Example: 16M = 224 = 16,777,216
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Dr. Ihab Talkhan
Conversion from Decimal to Binary
(Integer numbers only)
 The conversion of a decimal number to binary is
achieved by a method that successively subtracts
powers of two from the decimal number, i.e. it is
required to find the greatest number (power of two)
that can be subtracted from the decimal number and
produce a positive difference and repeating the same
procedure on the obtained number till the difference
is zero.
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Dr. Ihab Talkhan
Example
 Find the binary equivalent of (625)10
625 – 512 = 113
113 – 64 = 49
 49 – 32 = 17
 17 – 16 = 1
 1– 1= 0
512 = 29
64 = 26
32 = 25
16 = 24
1 = 20
MSB
LSB
(625)10 = 29 + 26 + 25 + 24 + 20 = (1001110001)
Position 10
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General Method
 If the number includes a radix point, it is necessary to separate
it into an integer part and a fraction part, since each part must
be converted differently.
 The conversion of a decimal integer to a number in base “r“ is done by
dividing the number and all successive quotients by “ r “ and
accumulating the remainders.
 The conversion of a decimal fraction to base “ r “ is accomplished by a
method similar to that used for integer, except that multiplication by “ r
“ is used instead of division, and integers are accumulated instead of
remainders.
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Dr. Ihab Talkhan
Example
 Find the binary equivalent of
(41.6875)10
 Separate the number into an integer part & a fraction part.
Integer Part:
2
2
2
2
2
2
Fraction Part:
remainder
41
20 + ½
10
5
2+½
1
0+½
=1
=0
=0
=1
=0
=1
(41)10 = (101001)2
Integer
LSB
MSB
0.6875 x 2 = 1.3750
0.3750 x 2 = 0.7500
0.7500 x 2 = 1.5000
0.5000 x 2 = 1.0000
MSB
1
0
1
1
LSB
( .6875)10 = ( .1011)2
Thus: (41.6875)10 
(101001.1011)2
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Dr. Ihab Talkhan
Important Note
 The process of multiplying fractions by “ r “ does not
necessarily end with zero, so we must stop at a certain
accuracy , i.e. number of fraction digits, otherwise
this process might go forever.
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Dr. Ihab Talkhan
Octal Numbers
 Octal number system is a base 8 system with eight
digits [ 0,1,2,3,4,5,6,7 ].
 To find the equivalent decimal value, we expand the
number in a power series with a base of “ 8 ”.
 Example:
 (127.4)8
= 1 x 82 + 2 x 81 + 7 x 80 + 4 x 8-1
= (87.5)10
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Dr. Ihab Talkhan
Hexadecimal Numbers
 The Hexadecimal number system is a base 16 system
with the first ten digits borrowed from the decimal
system and the letters A,B,C,D,E,F are used for digits
10,11,12,13,14 and 15 respectively.
 To find the equivalent decimal value, we expand the
number in a power series with a base of “ 16 ”.
 Example:
 (B65F)16
= 11 x 163 + 6 x 162 + 5 x 161 + 15 x 160
= (46687)10
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Dr. Ihab Talkhan
Note
 It is customary to borrow the needed “ r “ digits for
the coefficients from the decimal system, when the
base of the numbering system is less than 10.
 The letters of the alphabet are used to supplement the
digits when the base of the number is greater than 10.
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Dr. Ihab Talkhan
Decimal
Binary
Octal
Hexadecimal
00
01
02
03
04
05
06
07
08
09
10
11
12
13
14
15
0000
0001
0010
0011
0100
0101
0110
0111
1000
1001
1010
1011
1100
1101
1110
1111
00
01
02
03
04
05
06
07
10
11
12
13
14
15
16
17
0
1
2
3
4
5
6
7
8
9
A
B
C
D
E
F
Dr. Ihab Talkhan
35
Important Property
 The Octal & Hexadecimal systems are useful for
representing binary quantities indirectly because they
posses the property that their bases are powers of “2”.
 Octal base = 8 = 23 & Hexadecimal base = 16 = 24,
from which we conclude:
Each Octal digit correspond to three binary digits
Each Hexadecimal digit correspond to four binary digits.
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Dr. Ihab Talkhan
Conversion from Binary to
Octal/Hexadecimal
 The conversion from Binary to either Octal or
Hexadecimal is accomplished by partitioning the
Binary number into groups of three or four digits
each respectively, starting from the binary point and
proceeding to the left and to the right. Then, the
corresponding Octal or Hexadecimal is assigned to
each group.
 Note that, 0’s can be freely added to the left or right
to the Binary number to make the total number of bits
a multiple of three or four.
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Dr. Ihab Talkhan
Example
 Find the Octal equivalent of the Binary number:
( 10110001101011.11110000011)2
Added “0’s”
010 110 001 101 011 . 111 100 000 110
2
6
1
5
3
7
4
0
6
(010110001101011.111100000110)2 ≡ (26153.7406)8
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Dr. Ihab Talkhan
Example
 Find the Hexadecimal equivalent of the Binary number:
( 10110001101011.11110000011)2
Added “0’s”
0010 1100 0110 1011 . 1111 0000 0110
2
C
6
B
F
0
6
(10110001101011.11110000011)2 ≡ (2C6B.F06)16
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Dr. Ihab Talkhan
Conversion from Octal/Hexadecimal
to Binary
 Conversion from Octal or Hexadecimal to Binary is
done by a procedure reverse to the previous one.
 Each Octal digit is converted to a three-digit binary
equivalent.
 Each Hexadecimal digit is converted to its four-digit
binary equivalent.
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Dr. Ihab Talkhan
Example
 Find the Binary equivalent of (673.12)8
6
7
3
. 1
2
110 111 011 001 010
(673.12)8 = (110111011.001010)2
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Dr. Ihab Talkhan
Example
 Find the Binary equivalent of (3A6.C)16
3
A
6
.
C
0011 1010 0110 1100
(3A6.C)16 = (110111011.001010)2
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Dr. Ihab Talkhan
Important Note
The Octal or Hexadecimal equivalent
representation is more convenient because the
number can be expressed more compactly with
a third or fourth of the number of digits.
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Dr. Ihab Talkhan
Gates link
Carry
Two digits
Arithmetic
1 + 1 = 10
Binary
1+1=1
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Dr. Ihab Talkhan
Arithmetic Operations
 Arithmetic operations with numbers in base “ r “ follow the
same rules as for decimal numbers
Addition
Subtraction
1 1
2
2
Minuend
1
0 1 1
0
+ 1 0 0 1 1
Subtrahend -
1
0 0 1
1
1 0 1 0 0 1
Result
0
0 0 1
1
Augend
1 0 1 1 0
Addend
Sum
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Dr. Ihab Talkhan
Arithmetic Operations (cont.)
Multiplication
Multiplicand
Multiplier
1 0 1 1
x
Division
divisor
1 0 1
dividend
1110 1 0 1 1 1 0 1 0
1101
subtract
1 0 1 1
1 1 1 0
1 0 0 1 0
1 1 1 0
0 0 0 0
0 1 0 0 1
0 0 0 0
1 0 1 1
1 0 0 1 0
Product
1 1 0 1 1 1
1 1 1 0
186
4
100
 13  1101
14
14
1110
Dr. Ihab Talkhan
1 0 0
remainder
46
Notes
 The rules for subtraction are the same as in decimal,
except that a borrow from a given column adds “2” to
the minuend digit.
 In division, we have only two choices for the greatest
multiple of the divisor Zero and the divisor itself.
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Dr. Ihab Talkhan
Arithmetic Operations with
Base “r” Systems
 Arithmetic operations with Octal , Hexadecimal or
any other base “r” system is done by using the
following methods:
Formulation of tables from which one obtains sums and
products of two digits in base “r”.
Converting each pair of digits in a column to decimal , add
the digits in decimal, and then convert the result to the
corresponding sum and carry in base “r” system.
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Dr. Ihab Talkhan
Example
 Add :
(59F)16 + (E46)16
Equivalent Decimal
Hexadecimal
5 9 F
1
+ E 4 6
+
1 3 E 5
5
9
15
14
4
19
14 21
6 Carry 1
=16+5
=16+3
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Dr. Ihab Talkhan
Note
 The idea is to add F+6 in hexadecimal, by adding the
equivalent decimals 15+6 = 21, then converting (21)10
back to hexadecimal knowing that;
21 = 16+5  gives a sum digit of 5 and a
carry “1” to the next higher
order column digit
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Dr. Ihab Talkhan
Multiplication
 The multiplication of two base “r” numbers is done
by performing all arithmetic operations in decimal
and converting intermediate results one at a time.
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Dr. Ihab Talkhan
Example
 Multiply (762)8 x (45)8
carry
Octal
Octal
Decimal
Octal
762
5x2
10=8+2
12
5 x 6 +1
31=24+7
37
5 x 7 + 3 38=32+6
46
3710
4x2
8=8+0
10
43772
4 x 6 +1
25=24+1
31
4 x 7 + 3 31=24+7
37
45
4672
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Dr. Ihab Talkhan
Complements
 Complements are used to simplify the subtraction operation and
for logical manipulation.
Types
Radix Complement
Diminished radix Complement
r’s complement
(r-1)’s complement
Given n-digit number N in base r,
its r’s complement is;
rn  N
0
Given n-digit number N in base r,
its r’s complement is;
N 0
N 0
(r n  1)  N
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Dr. Ihab Talkhan
Important Notes
 The r’s complement is obtained by adding “1” to the
(r-1)’s complement.
 r’s complement of N can be formed by leaving all
least significant 0’s unchanged, then subtracting the
first nonzero least significant digit from “r”, and
subtracting all higher significant digits from (r-1).
 (r-1)’s complement of N can be formed by subtracting
each digit from (r-1).
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Dr. Ihab Talkhan
Examples
106-246700
10’s complement of : 246700  753300
9’s complement of : 246700  753299
(106-1)-246700
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Dr. Ihab Talkhan
Binary 1’s & 2’s Complements
 Note that ; 2n = a binary number which consists of a
“1” followed by n 0’s.
 2n – 1= a binary number represented by n 1’s.
 2’s complement is formed by leaving all least
significant 0’s and the first “1” unchanged, then
replacing 1’s with 0’s and 0’s by 1’s in all other
higher significant bits.
 1’s complement is obtained by changing 1’s to 0’s
and 0’s to 1’s.
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Dr. Ihab Talkhan
Note
 The (r-1)’s complement of Octal or Hexadecimal
numbers is obtained by subtracting each digit from 7
or f (15) respectively.
 If the number contains a radix point, then the point
should be removed temporarily in order to form the
r’s or (r-1)’s complement. The radix point is then
restored to the complemented number in the same
relative position.
 The complement of the complement restores the
number to its original value.
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Dr. Ihab Talkhan
Subtraction with Complements


The subtraction method that is based or uses the borrow concept is less
efficient than the method that uses complements, when subtraction is
implemented with digital hardware.
The subtraction of two n-digit unsigned numbers, M-N in base “r” is
done as follows:
1.
Add the minuend M to the r’s complement of the subtrahend N;
M + (rn – N) = M- N + rn
2.
3.
If M≥N, the sum will produce an end carry rn, which is discarded, what is
left is the result “ M-N “.
If M < N, the sum does not produce an end carry and is equal to
rn – (N-M)
which is the r’s complement of (N-M). to obtain the answer in a familiar
form, take the r’s complement of the sum and place a negative sign in front.
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Dr. Ihab Talkhan
Example (using 10’s complement)
 Consider the two numbers 72532 & 3250, it is required to
apply the rules for subtraction with complements with these
two numbers, thus we have two cases:
 Case # 1:
 M = 72532 & N = 3250, required M-N.
 In this case M > N
 Note that M has 5-digits and N has only 4-digits, rule number 1: both
numbers must have the same number of digits.
 Note also,, the occurrence of the end carry signifies that M > N and the
result is positive.
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Dr. Ihab Talkhan

M – N = 72532 – 03250
72532
-03250 
72532
+ 96750
1 69282
10’s Complement
sum
Discard the
end carry
69282 is the required answer
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Dr. Ihab Talkhan
Example (using 10’s complement)
 Case # 2:
 M = 3250 & N = 72532, required M-N.
In this case M < N
Note that M has 5-digits and N has only 4-digits, rule
number 1: both numbers must have the same number of
digits.
Note also,, the absence of the end carry signifies that M <
N and the result is negative.
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Dr. Ihab Talkhan

M – N = 03250 - 72532
03250
-72532 
no carry
03250
+ 27468
30718
10’s Complement
sum
The required answer = - ( 10’s complement of 30718)
= - 69282
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Dr. Ihab Talkhan
Notes
 When subtracting with complements, the negative
answer is recognized by the absence of the end carry
and the complemented result.
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Dr. Ihab Talkhan
Subtracting with (r-1)’s Complements
 The (r-1)’s complement can be used when subtracting
two unsigned numbers as the (r-1)’s complement is
one less than the r’s complement. Thus the result of
adding the minuend to the complement of the
subtrahend produces a sum which is one less than the
correct difference when an end carry occurs.
 Removing the end-carry and adding one to the sum is
referred to as an end-around carry.
64
Dr. Ihab Talkhan
1’s Complement
 Example:
X – Y = 1010100 – 1000011
1010100
-1000011
1010100
+ 0111100
1 0010000
1
0010001
1’s Complement
sum
End-around carry
answer (X-Y)
65
Dr. Ihab Talkhan
1’s Complement (cont.)
 Example (cont.):
Y – X = 1000011 – 1010100
1000011
-1010100
1000011
+ 0101011
1’s Complement
1101110
sum
Note that, there is no carry in this case
Answer = Y – X = - ( 1’s complement of 1101110)
= - 0010001
66
Dr. Ihab Talkhan
Signed Binary Number
 Positive integers including zero can be represented as
unsigned numbers.
 Because of hardware limitations, computers must
represent everything with 1’s & 0’s, including the
sign of a number.
 The sign is represented with a bit, placed in the leftmost position of the number, where:
0 = positive sign
&
1 = negative sign
67
Dr. Ihab Talkhan
Binary number
Binary Number
Signed number
 The left most bit represents
the sign and the rest of the
bits represent the number
X = 0 +ve
X = 1 -ve
The left
most bit
Unsigned number
 The left most bit is the most
significant bit of the number
X1010101011
Dr. Ihab Talkhan
68
Signed & Unsigned numbers
Unsigned
9
01001
Signed
+9
Unsigned
25
Signed
-9
Signedmagnitude
System
11001
69
Dr. Ihab Talkhan
 In computers, a signed-complement system is used to
represent a negative number, i.e. negative number is
represented by its complement.
8-bit representation
+9
-9
0 0001001
Signed-magnitude representation
10001001
Signed-1’s complement representation
11110110
Signed-2’s complement representation
11110111
70
Dr. Ihab Talkhan
 The addition of two signed numbers, with negative
numbers represented in signed 2’s complement form,
is obtained from the addition of the two numbers
including their sign bits. A carry out of the sign bit
position is discarded.
 Note that the negative numbers must be initially in 2’s
complement and the sum obtained after the addition,
if negative, is in 2’s complement form.
71
Dr. Ihab Talkhan
+ 6
0000 0110
+ 6
0000 0110
+ 13
0000 1101
- 13
1111 0011
+ 19
00010011
- 7
2’s complement
1111 1001
 We must ensure that the result has sufficient number
of bits to accommodate the sum, if we start with two
n-bit numbers and the sum occupies n+1 bits, we say
that an overflow occurs.
72
Dr. Ihab Talkhan
 Note that binary numbers in the signed-complemented system
are added and subtracted by the same basic addition and
subtraction rules as unsigned numbers, therefore, computers
need only one common hardware circuit to handle both types
of arithmetic.
 The user / programmer must interpret the results to distinguish
between signed and unsigned numbers
73
Dr. Ihab Talkhan
Decimal Codes
 The binary code is a group (string) of n bits that
n
2
assume up to distinct combinations of 1’s and 0’s,
with each combination representing one element of
the set that is being coded, the bit combination of an
n-bit code is determined from the count in binary
n
from 0 to 2 -1.
 Each element must be assigned a unique binary
combination and no two elements can have the same
value
74
Dr. Ihab Talkhan
Binary Coded Decimal “BCD”
Decimal
BCD
0
1
2
3
4
5
6
7
8
9
0000
0001
0010
0011
0100
0101
0110
0111
1000
1001
23 2 2 2 1 2 0
75
Dr. Ihab Talkhan
 Note , a number with “n” decimal digit will require
“4n” bits in BCD.
 Note also, a decimal number in BCD is the same as
its equivalent binary number, only when the number
is between 0 – 9. A BCD number > 10 looks different
from its equivalent binary number.
 The binary combinations 1010 – 1111 are not used
and have no meaning in the BCD.
76
Dr. Ihab Talkhan
18510  00011000 0101BCD  101110012
12 bit
8 bit
 It is important to realize that BCD numbers are decimal
numbers and not binary numbers.
77
Dr. Ihab Talkhan
BCD Addition
 Each digit in a BCD does not exceed 9, the sum can
not be greater than 9+9+1 = 19, where the “1” being a
carry.
 The binary sum will produce a result in the range
from 0 to 19, in binary it correspond to 0000 – 10011,
but in BCD
0000 – 1 1001, thus when the binary sum is equal to
or less 1001 (without a carry) the corresponding
BCD is correct.
78
Dr. Ihab Talkhan
BCD Addition (cont.)
 When the binary sum is  1010 , the result is an
invalid BCD digit.
 To correct this problem, add binary 6 (0110) to the
sum, which converts the sum to a correct BCD digit
and produces a carry as required.
 The value 6 corresponds to the 6 invalid
combinations in the BCD code (1010 – 1111).
79
Dr. Ihab Talkhan
Examples
4
0100
4
0100
8
1000
+ 5
0101
+ 8
1000
+ 9
1001
9
1001
12
1100
17
1 0001
Sum greater than 9
0110
0110
1 0010
1 0111
Add 6
Sum greater than 16
carry
80
Dr. Ihab Talkhan
Example (2)
1
1
184
0001 1000 0100
+ 576
0101 0111 0110
0111 0000 1010
0110 0110
760
0111 0110 0000
BCD carry
Binary sum
add 6
BCD sum
81
Dr. Ihab Talkhan
BCD Multiplication
 Multiply 15 x 16 in BCD
15
5x6
= 30
x 16
6x1+3=9
1001 0000
1x5
=5
1
0001 0101
1x
=1
L 0011 0000
L 1001
L 0101
L 0001
0010 1110 0000
0110
0010 0100 0000
82
Dr. Ihab Talkhan
 For signed decimal numbers, the sign is represented
with “Four” bits to conform with the 4-bit code of the
decimal digits, where:
-ve sign
=
1001 (9)
+ve sign
=
0000 (0)
 Many computers have special hardware to perform
arithmetic calculations directly with decimal numbers
in BCD.
83
Dr. Ihab Talkhan
Other Decimal Codes
 Binary codes for decimal digits require a minimum 4-bits per
digit.
3 2 1 0
2 2 2 2
 BCD
8421
 Repeated code
2421
Weighted
 Excess-3 code
codes
 Negative code
8 4 -2 -1
Always add 3 (0011) to the
original binary number, e.g
0000
0011
0001
0100 and so on
Note, some
digits can be
coded in two
possible ways
84
Dr. Ihab Talkhan
Other Decimal Codes (cont.)
 The 2421 & Excess-3 codes are self-complementing
codes, i.e. the 9’s complement of a decimal number is
obtained directly by changing 1’s to 0’s and 0’s to 1’s.
 BCD is not a self-complementing code
 The 84-2-1 accepts positive & negative weights.
85
Dr. Ihab Talkhan
Notes
 You should distinguish between conversion of a
decimal number to binary and the binary coding of a
decimal number.
 It is important to realize that a string of bits in a
computer sometimes represents a binary number and
at other times it represents information as specified
by a given binary code.
86
Dr. Ihab Talkhan
Alphanumeric Codes
 ASCII = American Standard Code for
Information Interchange
 ASCII consists of 7-bits to code 128 characters
26 upper-case letters [ A,B,C,…]
26 lower-case letters [a,b,c,….]
128
characters
10 decimal numbers [ 0- 9]
32 special printable characters [ #,$,%,&,*,…..]
34 control characters
(non-printing C/Cs)
87
Dr. Ihab Talkhan
 Note that, binary codes merely change the symbols
not the meaning of the element of information.
 The 34 control characters are used for routing data
and arranging the printed text into the prescribed
format
88
Dr. Ihab Talkhan
The 34 control Characters
Control Characters
Format effectors
Information separators
Communication
Control characters
Layout of printing
Separate data into
paragraphs & pages
Transmission of text
between remote
terminals
89
Dr. Ihab Talkhan
Parity bit
 ASCII code was modified to 8-bits instead of 7-bits.
(ASCII is 1 byte in length)
 1 byte = 8 bits
 The extra bit, whose position is in the most
significant bit [ default is “0”] , is used for:
Providing additional symbols such as the Greek Alphabet
or italic type format……etc
Indicating the parity of the character when used for data
communication.
90
Dr. Ihab Talkhan
Parity bit (cont.)
 The parity bit is an extra bit included to make the total number of
1’s in a row either even or odd.
 The bit is helpful in detecting errors during the transmission of
information from one location to another.
Even parity
0
1
1
1
0011101
0011010
0101001
0011001
91
Dr. Ihab Talkhan
Other Alphanumeric Codes
 EBCDIC = Extended BCD Interchange Code, used in
IBM. It is 8-bits for each character and a 9th bit for
parity.
92
Dr. Ihab Talkhan
You can Solve from the text Book
 Chapter 1
Problems
1-1 - 1-34 , page 30
 Chapter 2
Problems
2-1 – 2-23 , page 61
Need to submit within two weeks (i.e. due date is 3 October , 2005)
Chapter 1 – odd problems
Chapter 2 – even problems
93
Dr. Ihab Talkhan
Binary Logic
 Digital circuits are hardware components that
manipulate binary information.
 Gates are circuits that are constructed with electronics
components [ transistors, diodes, and resistors]
 Boolean algebra is a binary logic system which is a
mathematical notation that specifies the operation of a
gate [ Boolean => the English mathematician
“George Boole” 1854 ]
94
Dr. Ihab Talkhan
 Electrical Signals [ voltages or currents ] that exist throughout
a digital system is in either of two recognizable values [ logic1 or logic 0 ]
Voltage
5
Intermediate
region,
crossed only
during state
transition
Logic – 1 range
2
Transition , occurs
between the two limits
0.8
Logic – 0 range
0
time
95
Dr. Ihab Talkhan
 You should distinguish between binary logic and binary
arithmetic. Arithmetic variables are numbers that consist of
many digits. A logic variable is always either 1 or 0.
 A Truth Table is a table of combinations of the binary
variables showing the relationship between the values that the
variables take and the result of the operation.
n
 The number of rows in the Truth Table is 2 , n = number of
variables in the function.
 The binary combinations are obtained from the binary
number by counting from 0 to 2n  1
96
Dr. Ihab Talkhan
Carry
Two digits
Arithmetic
1 + 1 = 10
Binary
1+1=1
97
Dr. Ihab Talkhan
Binary Logic
AND
OR
-Represented by any of
the following notations:
-Represented by any of
the following notations:
NOT
(inverter)
-Represented by a bar
over the variable
•
X .AND. Y
•
X .OR. Y
•
X.Y
•
X+Y
-Function definition:
•
XY
•
XvY
Z is what X is not
-Function definition:
Z = 1 only if X=Y=1
0 otherwise
-Function definition:
Z = 1 if X=1 or Y =1
or both X=Y=1
•
X
-It is also called
complement operation ,
as it changes 1’s to 0’s
and 0’s to 1’s.
0 if X=Y=0
98
Dr. Ihab Talkhan
Binary Logic
AND
OR
NOT
(inverter)
-Symbol:
-Symbol
-Symbol
-Truth Table
-Truth Table
-Truth Table
X
Y
Z
X
Y
Z
0
0
1
1
0
1
0
1
0
0
0
1
0
0
1
1
0
1
0
1
0
1
1
1
X
Z
0
1
1
0
99
Dr. Ihab Talkhan
 AND and OR gates may have more than two inputs.
 Timing diagrams illustrate the response of any gate to
all possible input signal combinations.
 The horizontal axis of the timing diagram represents
time and th vertical axis represents the signal as it
changes between the two possible voltage levels
100
Dr. Ihab Talkhan
Timing Diagram
input 1
X
0
0
1
1
input 2
Y
0
1
0
1
AND
X.Y
0
0
0
1
OR
X+Y
0
1
1
1
X
1
1
0
0
NOT
101
Dr. Ihab Talkhan
Logic Function Definition
 Language description
 Function description
 Boolean Equation
 Graphic Symbols
 Truth Table
 Timing Diagram
 VHDL code (hardware language)
102
Dr. Ihab Talkhan
Gates Link
Other Gates
NAND = AND-Invert
NOR – Invert-OR
XOR ( odd )
XNOR (even )
-Symbol:
-Symbol
-Symbol
-Symbol
-Truth Table
-Truth Table
-Truth Table
-Truth Table
X
Y
Z
X
Y
Z
X
Y
Z
X
Y
Z
0
0
1
1
0
1
0
1
1
1
1
0
0
0
1
1
0
1
0
1
1
0
0
0
0
0
1
1
0
1
0
1
0
1
1
0
0
0
1
1
0
1
0
1
1
0
0
1
Z=X.Y
ZXY
Z=X+Y
Z  XY
103
Dr. Ihab Talkhan
Building the Basic Functions
from Other gates
Using NAND Gates
A
Using NOR Gates
Basic Function
A
A
NOT (inverter)
A
A
A
AB
AND
AB
B
B
A
A+B
OR
B
A
B
A+B
104
Dr. Ihab Talkhan
Boolean Algebra
 It is an algebra that deals with binary variables and
logic operations:
 A Boolean function consists of:
An algebraic expression formed with binary variables.
The constants “0” and “1”
The logic operation symbol ( . , +, NOT)
Parentheses and an equal sign
105
Dr. Ihab Talkhan
Example
 Given a logic function “F”, defined as follows:
 F=
1 if X = 1 or if both Y & Z are equal to 1
0 otherwise
 The logic equation that represents the above function is given
by:
F  X  YZ
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Dr. Ihab Talkhan
 The truth table for the given
function is as shown.
 The Boolean function can be
transformed from an algebraic
expression into a circuit diagram
composed of logic gates.
X
Y
Z
F
0
0
0
0
1
1
1
1
0
0
1
1
0
0
1
1
0
1
0
1
0
1
0
1
0
1
0
0
1
1
1
1
107
Dr. Ihab Talkhan
Logic Circuit Diagram
OR
F  X  YZ
AND
output
Complement = need an inverter
X
F  X  YZ
Y
Z
Note : the number of inputs equal the number of variables
108
Dr. Ihab Talkhan
Notes
 There is only one way to represent a Boolean
function in a Truth Table, where there are a variety of
ways to represent the function when it is in algebraic
form.
 By manipulating a Boolean expression according to
Boolean Algebra rules, it is sometimes possible to
obtain a simpler expression for the same function,
thus reducing the number of gates in the circuit.
109
Dr. Ihab Talkhan
Basic Identities of Boolean Algebra
description
Commutative
Associative
Distributive
DeMorgan
Duality
X + 0 =X
X+1=1
X+X=X
X+X=1
X = X
X + Y = Y +X
X+(Y+Z) = (X+Y)+Z
X(Y+Z) = XY + XZ
X  Y  X.Y
Dr. Ihab Talkhan
X.1=X
X.0=0
X.X=X
X.X=0
XY = YX
X(YZ) = (XY)Z
X+YZ=(X+Y)(X+Z)
X.Y  X  Y
110
Duality
 The dual of an algebraic expression is obtained by
interchanging OR and AND operations and replacing
1’s by 0’s and 0’s by 1’s.
 Notice that when evaluating an expression, the
complement over a single variable is evaluated first ,
then the AND operation and the OR operation.
( )
NOT
AND
OR
111
Dr. Ihab Talkhan
Extension of DeMorgan’s Theorem
X1  X 2  X 3  ...  X n  X1 .X 2 .X 3 ..X n
X1 .X 2 .X 3 .....X n  X1  X 2  X 3  ..  X n
112
Dr. Ihab Talkhan
Algebraic Manipulation
F  XYZ  XY Z  XZ
 XYZ  Z   XZ using X(Y  Z)  XY  XZ
 XY.1 XZ
using X  X  1
 XY XZ
using X.1  X
113
Dr. Ihab Talkhan
F  XYZ  XY Z  XZ
X
0
0
0
0
1
1
1
1
Y
0
0
1
1
0
0
1
1
Z
0
1
0
1
0
1
0
1
F
0
0
1
1
0
1
0
1
F  XY  XZ
114
Dr. Ihab Talkhan
The Consensus Theorem
XY  XZ  YZ  XY  XZ
 Which Shows that the term YZ is redundant and can be
eliminated
 Proof:
XY  XZ  YZ  XY  XZ  YZ(X  X)
 XY  XZ  XYZ  XYZ
 XY  XYZ  XZ  XYZ
 XY(1  Z)  XZ(1  Y)
 XY XZ
115
Dr. Ihab Talkhan
The Dual of Consensus Theorem
X  YX  ZY  Z  X  YX  Z
 Notice that, two terms are associated with one variable and
its complement and the redundant term is the one which not
contain the same variable.
116
Dr. Ihab Talkhan
Complement of a Function “F”
 The complement of a function “F” is obtained by
interchanging 1’s to 0’s and 0’s to 1’s in the values of
“F” in the Truth Table.
 OR, it can be derived algebraically by applying
DeMorgan’s Theorem.
 The complement of an expression is obtained by
interchanging AND and OR operations and
complementing each variable.
117
Dr. Ihab Talkhan
Example
F  XY Z  X YZ
F  XY Z  X YZ
 XY Z 
. X YZ 
 X  Y  Z 
. X  Y  Z
 Or by taking the dual of the expression:
 The original function
 The dual of F
 Complement each literal
F  XY Z  X YZ
Fdual  X  Y  Z 
. X  Y  Z
F
X  Y  ZX  Y  Z
 The complement of a function is done by taking the dual of
the function and complement each literal.
118
Dr. Ihab Talkhan
Standard Forms
Standard Forms
Product terms
Sum Terms
AND operation among several variables
OR operation among several variables
0 = complemented variable
1 = complemented variable
1 = uncomplemented variable
0 = uncomplemented variable
 A product term in which all the variables appear exactly once
either complemented or uncomplemented is called a “minterm”,
n
note that there are 2 distinct “minterm” for n-variables.
119
Dr. Ihab Talkhan
 An algebraic expression representing the function is derived
from the Truth Table by finding the logical sun of all product
terms for which the function assumes the binary value of
“1”.
 A symbol for each minterm m j , where “j” denotes the
decimal equivalent of the binary number of the minterm.
 A sum term that contain all the variables in complemented or
uncomplemented form is called “maxterm”, symbol M j
 Note that
Mj  mj
120
Dr. Ihab Talkhan
Example
X Y
0
0
0
0
1
1
1
1
0
0
1
1
0
0
1
1
Product
Z
term symbol
0 X Y Z m0
1 X YZ m1
0 XY Z m 2
1 X YZ m3
0 XY Z m4
1 XYZ m5
0 XYZ m6
1 XYZ m7
SUM
sum
symbol
M0
XYZ
M1
XYZ
M2
XYZ
M3
XYZ
M4
XYZ
M5
XYZ
M6
XYZ
M7
XYZ
F
1
0
1
0
0
1
0
1
121
Dr. Ihab Talkhan
Example
 Sum of Product
SOP
F  X Y Z  XY Z  X YZ  XYZ
 m0 
m 2  m5 
  m0,2,5,7
m7
F   m1,3,4,6 
 Product of Sum
POS
F  M1  M 3  M 4  M 6
 m1  m 3  m 4  m 6
 m1  m 3  m 4  m 6
 X  Y  Z X  Y  Z X  Y  Z X  Y  Z 
  M1,3,4,6
 Note that the decimal numbers included in the product of
maxterms will always be the same as the minterm list of
the complement function
Dr. Ihab Talkhan
122
Properties of minterm
1.
2.
3.
4.
n
2
There are
minterm for n-Boolean variables which can be
evaluated from the binary numbers 0 to 2 n  1
Any Boolean function can be expressed as a logical sum of
minterms.
The complement of a function contains those minterms not
included in the original function
n
A function that includes all 2 minterms is equal to logic-1.
123
Dr. Ihab Talkhan
 AND gates followed by OR gate forms a circuit
configuration that is referred to as a Two-Level
implementation (SOP).
 Two-Level implementation is preferred as it produces
the least amount of delay time through the system.
 Delay is defined as the time that a signal spends to
propagate from input to output.
 Also, Product of Sum (POS) is a two-level
implementation, as it consists of a group of OR gates
followed by an AND gate.
124
Dr. Ihab Talkhan
Example
F  AB  CD  E   AB  CD  CE
125
Dr. Ihab Talkhan
Karnaugh map (k-map)
 Each square corresponds to a row of the Truth-Table and to
one minterm of the algebraic equation.
 Only one digit changing value between two adjacent rows and
columns.
 One square represent one minterm, giving a term of four
variables (in case of 4-varaiable map).
 Two adjacent squares represent a term of three literals
 Four adjacent squares represent a term of two literals.
 Eight adjacent squares represent a term of one literal.
 Sixteen adjacent squares represent F=1.
 When a variable appears within a group in both inverted and
non-inverted state, then the variable can be eliminated.
126
Dr. Ihab Talkhan
K-map Procedure
 Fill the map from the Truth-Table.
 Look at 1’s (where F=1).
 Make the biggest group possible:
n
2
•Squares in a group =
, n=0,1,2,…
•Adjacent cells
•Cover all 1’s
 Any square can appear in more than one group.
 Get expression for each group.
 OR all expressions.
127
Dr. Ihab Talkhan
One digit change value at a time
CD
AB
00
01
11
10
00
01
11
10
Cell
0
1
3
2
4
5
7
6
12
13
15
14
ABCD 8
9
11
10
A BC D
SOP
Dr. Ihab Talkhan
POS
128
 Note that there are cases where two squares in the map are
considered to be adjacent,, even though they do not touch
each other.
YZ
00
X
0
1
01
0
4
11
1
5
10
3
7
2
6
129
Dr. Ihab Talkhan
Example
FA, B, C, D    m0,1,2,4,5,6,8,9,12,13,14 
AB CD
00
01
11
10
00
01
11
10
1
0
1
1
3
1
2
1
4
1
5
7
1
6
1
12
1
13
15
1
14
1
8
1
9
11
10
F  C  AD  BD
130
Dr. Ihab Talkhan
Example 2
FA, B, C, D  ABC  BCD  ABCD  ABC
AB CD
00
01
11
10
00
1
1
01
1
11
10
1
3
1
2
4
5
7
1
6
12
13
15
14
9
11
1 10
0
8
1
F  BD  BC  ACD
131
Dr. Ihab Talkhan
Prime Implicant
 A prime implicant is a product term obtained by
combining the maximum possible number of adjacent
squares in the map.
 If a minterm in a square is covered by only one prime
implicant , that prime implicant is said to be essential.
132
Dr. Ihab Talkhan
YZ
00
X
0
1
1
01
0
4
1
1
11
1
5
1
10
3
7
1
2
6
F  XZ  X Z  X Y
 XZ  X Z  YZ
XZ & X Z  essential prime implicants
X Y & YZ  non - essential prime implicants
133
Dr. Ihab Talkhan
Example 1
AB
CD
00
01
11
10
00
1
01
11
10
0
1
1
1
3
4
1
5
1
7
1 12
8
13
15
9
11
2
1
1
6
14
10
F  AD  BD  AB
essential prime
implicants
Non-essential prime
implicant
134
Dr. Ihab Talkhan
 Note that, once the essential prime implicants are taken, the
third term is not needed (redundant), as all the minterms are
already covered by the essential prime implicants, thus:
F  AD  BD
135
Dr. Ihab Talkhan
Example 2
AB CD
00
00
01
11
10
1
01
11
0
10
1
3
2
4
1
5
7
6
1 12
8
1
13
1 15
1 11
14
9
1
10
Non-essential
F  A BCD  BCD  ABC  A BC  ACD
or
ABD
Dr. Ihab Talkhan
136
Complement of a Function
 The complement of a function is represented in the
K-map by the squares (cells) not marked by 1’s.
137
Dr. Ihab Talkhan
Product of Sums (POS)
 To represent any function as a product of sums (POS), we take
the dual of F and complementing each literal, i.e. we get:
FF
138
Dr. Ihab Talkhan
Example
FA, B, C, D    0,1,2,5,8,9,10 
F  AB  CD  BD
CD
AB
dual F  A  BC  D B  D 
complementing each literal
F  A  BC  D B  D 
00
01
11
10
00
01
1
0
1
1
3
4
1
5
7
6
13
15
14
9
11
12
1
8
1
11
10
1
1
2
10
139
Dr. Ihab Talkhan
Don’t Care Terms
 There are applications where the function is not specified for
certain combinations of variables, e.g. the four-bit binary code
(BCD code) where there are six combinations from 10 – 15
which are not used and consequently are considered as
unspecified.
 These unspecified minterms are called “don’t care” terms and
can be used on a map to provide further simplification of the
function by considering it as 1’s or 0’s (depending on the
situation).
 Don’t care terms are represented by a cross “X” in the map.
140
Dr. Ihab Talkhan
Example
AB CD
00
01
11
10
00
X
01
11
10
0
1
1
1
3
X
4
X
5
1
7
6
12
13
1
15
14
8
9
1
11
10
2
F1  CD  AB  F2  CD  AD
Algebraically these two functions are not equal , as both covers
different don’t care minterms, but the original function is satisfied as
don’t care terms will not affect the original function
Dr. Ihab Talkhan
141
Example
 It is required to build a car alarm system where the
alarm is activated when:
Any door is open
The lights are on and the key is out of ignition
The seat belts are not fastened and key is in ignition
The key is still in ignition and the car door is open
142
Dr. Ihab Talkhan
Assumptions
 Assume that:
 X ≡ Car door , where “0” = door is closed & “1” = door
is open
 Y ≡ Lights , where “0” = light is off & “1” = light is on
 Z ≡ Seat belt . where “0” = seat belt is fastened & “1” =
seat belt is no fastened
 W ≡ Key , where “0” = key in ignition & “1” = key out of
ignition
143
Dr. Ihab Talkhan
Dec.
X
Y
Z
W
F
0
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
0
0
0
0
0
0
0
0
1
1
1
1
1
1
1
1
0
0
0
0
1
1
1
1
0
0
0
0
1
1
1
1
0
0
1
1
0
0
1
1
0
0
1
1
0
0
1
1
0
1
0
1
0
1
0
1
0
1
0
1
0
1
0
1
0
0
1
0
0
1
1
1
1
1
1
1
1
1
1
1
Dr. Ihab Talkhan
144
XY
ZW
00
01
11
10
00
01
11
0
10
1
3
1
2
4
1
5
1
7
1
6
1
12
1
13
1
15
1
14
1
8
1
9
1
11
1
10
F  X  ZW  YW
145
Dr. Ihab Talkhan
X
Y
F
Z
W
146
Dr. Ihab Talkhan
K-map with more than 4-variables
 Five-variable map needs 32-cell
 Six-variable map needs 64-cell & so on.
 In general, maps with six or more variables needs too
many cells and they are impractical to be analyzed
manually, there special program (simulation
programs) that can handle such situation.
147
Dr. Ihab Talkhan
5-variables Map
 We use two four-variables maps, the first one has a the variable
A=0 as a common factor, and the second has a common factor
A=1.
 Each cell in the A=0 map is adjacent to the corresponding cell in
the A=1 map, e.g.
m4  m20 & m15  m31
k
 Any a
adjacent cells , k=0,1,2,3,4, in the 5-variable map
represents a product term of 5-k literals.
148
Dr. Ihab Talkhan
5-variables map
DE
BC
00
01
11
10
00
01
11
DE
BC
10
0
1
3
2
4
5
7
6
12
13
15
14
8
9
11
10
00
01
11
10
A=0
00
01
11
10
16
17
19
18
20
21
23
22
28
29
31
30
24
25
27
26
A=1
149
Dr. Ihab Talkhan
Example
F(A, B, C, D)   m(0,2,4,6,9,13,21,23,25,29,31)
DE
BC
00
01
11
10
00
01
11
DE
BC
10
1
0
1
3
1
2
1
4
5
7
1
6
12
1
13
15
14
8
1
9
11
10
A=0
00
00
01
11
10
common
F  ABE  BDE  ACE
Dr. Ihab Talkhan
01
16
11
17
10
19
18
20
1
21
1
23
22
28
1
29
1
31
30
24
1
25
27
26
A=1
150
You can Solve from the text Book
 Chapter 3
Problems
3-1 – 3-30 , page 106
Need to submit within two weeks (i.e. due date is,
2005)
Chapter 3 - all
151
Dr. Ihab Talkhan
Other Gates
NAND = AND-Invert NOR – Invert-OR
Buffer
-Symbol:
-Symbol
-Symbol
-Truth Table
-Truth Table
-Truth Table
X
Y
Z
X
Y
Z
0
0
1
1
0
1
0
1
1
1
1
0
0
0
1
1
0
1
0
1
1
0
0
0
Z=X.Y
Z=X+Y
Dr. Ihab Talkhan
X
Z
0
1
0
1
ZX
152
 NAND and NOR gates are more popular than AND and OR
gates, as they are easily constructed with electronic circuits and
Boolean functions can be easily implemented with them.
X
X
XY
Y
X  Y  XY
Y
Invert-OR
AND-invert
Two Graphic Symbols for a NAND gate
153
Dr. Ihab Talkhan
X
X
XY
Y
XY  X  Y
Y
OR-invert
invert-AND
Two Graphic Symbols for a NOR gate
154
Dr. Ihab Talkhan
 The implementation of Boolean functions with NAND gates
requires that the function be in the SOP form.
F  AB  CD
Double inversion
AND & OR gates
NAND gates
Mixed notation, both
AND-invert & invertOR are present
155
Dr. Ihab Talkhan
Example
F(X, Y, Z)   m1,2,3,4,5,7 
X
Y
00
X
Y
F
0
1
1
01
0
4
1
1
11
1
5
1
1
10
3
7
1
2
6
Z
Note that Z must have a one-input NAND
gate to compensate for the small circle in
the second level gate
F  X Y  XY  Z
X
Y
X
Y
F
Z
156
Dr. Ihab Talkhan
Steps to Configure SOP with NAND gates
1. Simplify the function (SOP)
2. Draw a NAND gate for each product term and the
inputs to each NAND gate are the literals of the
product term. (group of the first-level gates)
3. Draw a single gate using AND-invert or invert-OR
graphic symbol in the second level.
4. A term with a single literal requires an inverter in
the first level.
157
Dr. Ihab Talkhan
Another Rule for converting
AND/OR into NAND
1. Convert all AND/OR using AND-invert/invert-OR.
2. Check all the small circles in the diagram. For every
small circle that is not counteracted by anther small
circle along the same line, insert an inverter (oneinput NAND gate) or complement the input
variable.
158
Dr. Ihab Talkhan
Example
F  A B  ABC  D 
A
B
A
B
A
B
A
B
C
D
F
F
C
D
159
Dr. Ihab Talkhan
Exclusive-OR Gate / Equivalence gate
XOR ( odd ) XNOR (even )
-Symbol
-Symbol
XOR is equal to “1”
if only one variable
is equal to “1” but
not both
XNOR is equal to “1”
if both X & Y are equal
to “1” or both are
equal to “0”
-Truth Table
-Truth Table
X
Y
Z
X
Y
Z
0
0
1
1
0
1
0
1
0
1
1
0
0
0
1
1
0
1
0
1
1
0
0
1
Z XY
 X Y  XY
Dr. Ihab Talkhan
Z  XY
 XY  X Y
160
XOR/XNOR identities
X0  X
X 1  X
XX 0
X  X 1
XY  XY
XY  XY
Commutative : X  Y  Y  X
Associative : (X  Y)  Z  X  (Y  Z)  X  Y  Z
X  Y  Z  X Y  XY Z  (XY  X Y) Z
 X Y Z  XY Z  X YZ  XYZ
Dr. Ihab Talkhan
161
Parity Generation & Checking
 It used for error detection.
 The circuit that generates the parity bit in the
transmitter is called a parity generator.
 The circuit that checks the parity in the receiver is
called a parity checker.
162
Dr. Ihab Talkhan
Even parity generator/checker
X
0
0
0
0
1
1
1
1
Y
0
0
1
1
0
0
1
1
Z
0
1
0
1
0
1
0
1
P
0
1
1
0
1
0
0
1
C
0
0
0
0
0
0
0
0
P  XYZ
C  XY ZP
Parity Checker
Parity generator
Dr. Ihab Talkhan
163
Transmission Gates
 This gate is available with CMOS type electronic circuits.
C
X
TG
Y
C
C 1
X & Y are inputs
C0
C0
C & C are control inputs
C 1
Open Switch
Pass signal
164
Dr. Ihab Talkhan
Using Transmission gates to construct An
Exclusive-OR gate (XOR)
Z XY
 X Y  XY
TG1
TG2
X
Y
TG1
TG2
Z
0
0
1
1
0
1
0
1
Close
Close
Open
Open
Open
Open
Close
Close
0
1
1
0
165
Dr. Ihab Talkhan
Integrated Circuits
 It is a small silicon semiconductor crystal, called a
chip, containing the electronic components for the
digital gates.
 Number of pins may range from 14 in a small OC
package to 64 or more in a large package.
166
Dr. Ihab Talkhan
Levels of Integration
Small Scale
Integration
SSI
Medium Scale
Integration
MSI
•No. of gates < 10
•10 -100 gates
•Inputs & outputs
are
connected
directly to the pins
•Decoder
•Adders
•Registers
Large Scale
Integration
LSI
Very Large Scale
Integration
VLSI
•100
–
few
thousands gates
•Thousands for
gates
•Processors
•Large memory
arrays
•Memory chips
•Programmable
modules
Ultra Large Scale
Integration
ULSI
•Complex
microprocessors
167
Dr. Ihab Talkhan
Logic Circuits Technology
 Basic circuits in each technology is a NAND, NOR or an
inverter.
Digital Logic Families
DTL
TTL
Diode-Transistor
Logic
TransistorTransistor Logic
ECL
Emitter-Coupled
Logic
•Diodes/transistors •High speed
operation
•Power supply 5 V
•Super computers
•Two logic levels
•Signal processors
[0V - 3.5V]
•Standard
Dr. Ihab Talkhan
MOS
CMOS
Metal-Oxide
Semiconductor
•High component
density
•Simple processing
technique during
fabrication
Complementary
Metal-Oxide
Semiconductor
•Low power
consumption
168
Notes
 There are many type of the TTL family
High-speed TTL
Low-power TTL
Schottky TTL
Low-power Schottky TTL
Advanced Low-power Shcottky TTL
 ECL gates operates in a nano-saturated state, a
condition that allows the achievement of propagation
delays of 1-2 nanoseconds.
169
Dr. Ihab Talkhan
Important Parameters that are evaluated
and compared
 Fan-out
 Power-dissipation
 Propagation delay
 Noise margin
170
Dr. Ihab Talkhan
Fan-out
 It specifies the number of standard loads that the
output of a typical gate can drive without impairing
its normal operation.
 A standard load is usually defined as the amount of
current needed by an input of another similar gate of
the same family.
171
Dr. Ihab Talkhan
Power Dissipation
 It is the power consumed by the gate which must be
available from the power supply.
172
Dr. Ihab Talkhan
Propagation Delay
 It is the average transition delay time for the signal to
propagate from input to output when the binary
changes in value. The operating speed is inversely
proportional to the propagation delay.
173
Dr. Ihab Talkhan
Noise Margin
 It is the maximum external noise voltage that causes
an undesirable change in the circuit output.
174
Dr. Ihab Talkhan
Positive & Negative Logic
 Choosing the high-level “H” to represent logic “1” defines a
positive logic system.
 Choosing the low-level “L” to represent logic “1” defines a
negative logic system.
Logic value
Signal value
Logic value
Signal value
Negative logic
Positive logic
175
Dr. Ihab Talkhan
Notes
 The signal values “H” & “L” are usually used in the
components data sheets
 The actual truth table is defined according to the
definition of “H” and “L” in the data sheet.
176
Dr. Ihab Talkhan
Data
Sheet
X
Y
Z
L
L
H
H
L
H
L
H
L
L
L
H
X
TTL
Gate
Y
Z
Depending on the definition of H &
L in the data sheet
X
Y
Z
0
0
1
1
0
1
0
1
0
0
0
1
X
Y
Z
X
Y
Z
X
Y
Z
0
0
1
1
0
1
0
1
1
1
1
0
These small triangle in the
inputs & output designate a
polarity indicator
177
Dr. Ihab Talkhan
Logic Circuits
Logic Circuits
Combinational
Sequential
 Consists of logic gates whose  It involves storage elements (FlipFlops).
outputs at any time are determined
directly from the values of the  Outputs are a function of inputs
present inputs.
and the state of the storage
elements, where the state of the
 No feedback or storage elements
storage elements is a function of
are involved.
the previous inputs.
 Circuit behavior must be specified
by a time sequence of inputs and
internal states.
178
Dr. Ihab Talkhan
Logic Circuits
Logic Circuits
Combinational
n
inputs
Sequential
Outputs
Inputs
Combinational
Circuit
m
outputs
Combinational
Circuit
Next
state
2 n possible input
combination
One possible
output for each
binary
combination of
input variables
Storage
elements
Present state
179
Dr. Ihab Talkhan
 A sequential circuit is specified by a time sequence of inputs, outputs and
internal states. It contain memory and thus can remember the changes of
input signals that occurred in the past.
 Inputs for the sequential circuit are functions of external inputs and the
present state of the storage elements.
 Both external inputs and the present states determine the binary value of the
outputs and the condition for changing the state of the storage state.
Outputs = f( external inputs , present states)
Next state = f( external inputs , present states)
180
Dr. Ihab Talkhan
Analysis Procedure

To obtain the output Boolean functions from a logic
diagram:
1.
2.
3.
Label all gate outputs that are a function of input variables with
arbitrary symbols. Determine the Boolean functions for each gate.
Label the gates that are a function of input variables and previous
labeled gates with different arbitrary symbols. Find the Boolean
functions for these gates.
Repeat step 2 until the outputs of the circuit are obtained in terms
of the input variables.
181
Dr. Ihab Talkhan
Example
182
Dr. Ihab Talkhan
T1  BC
, T2  AB
T3  A  T1  A  BC
T4  T2  D  ( AB)  D  ABD  AD  BD
T5  T2  D  AB  D
Thus the Boolean functions of F1 and F2 are:
F1  T3  T4  A  BC  ABD  AD  BD
 A  BC  BD  BD
F2  T5  AB  D
183
Dr. Ihab Talkhan
Another Way using the Truth Table
1. Determine the number of input variables in the circuit for ninputs, list the binary number from 0 to 2n-1 in a table.
2. Label the outputs of the selected gates with arbitrary symbols.
3. Obtain the Truth Table for the outputs of those gates that are a
function of the input variables only.
4. Proceed to obtain the Truth Table for the outputs of those gates
that are a function of previously defined values until the
columns for all outputs are determined.
184
Dr. Ihab Talkhan
A
B
C
D
T1
T2
T3
T4
T5
F1
F2
0
0
0
0
0
0
0
0
1
1
1
1
1
1
1
1
0
0
0
0
1
1
1
1
0
0
0
0
1
1
1
1
0
0
1
1
0
0
1
1
0
0
1
1
0
0
1
1
0
1
0
1
0
1
0
1
0
1
0
1
0
1
0
1
0
0
1
1
0
0
0
0
0
0
1
1
0
0
0
0
0
0
0
0
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
1
0
0
0
0
1
1
1
1
1
1
1
1
0
1
0
1
1
0
1
0
0
1
0
1
1
0
1
0
0
1
1
1
0
1
0
1
0
1
1
1
0
1
0
1
0
1
1
1
1
0
1
0
1
1
1
1
1
1
1
1
0
1
1
1
0
1
0
1
0
1
1
1
0
1
0
1
185
Dr. Ihab Talkhan
Design Procedure
1. Form the specifications of the circuit, determine the
required number of inputs and outputs and assign a
letter (symbol) to each.
2. Derive the Truth Table that defines the required
relationship between inputs and outputs.
3. Obtain the simplified Boolean functions for each
output as a function of the input variables.
4. Draw the logic diagram.
186
Dr. Ihab Talkhan
Need to Accomplish
1.
2.
3.
4.
Minimum number of gates
Minimum number of inputs to a gate
Minimum propagation delay of the signal through the gates
Minimum number of interconnections
187
Dr. Ihab Talkhan
Example
 Design a combinational circuit with
three inputs and one output. The output
must equal “1” when the inputs are less
than three and “0” otherwise. [use only
NAND gates]
0
1
2
3
4
5
6
7
X
Y
Z
F
0
0
0
0
1
1
1
1
0
0
1
1
0
0
1
1
0
1
0
1
0
1
0
1
1
1
1
0
0
0
0
0
188
Dr. Ihab Talkhan
YZ
00
X
0
1
1
01
0
1
4
11
10
1
3
5
7
1
2
6
F  XY  X Z
X
Y
F  XY  X Z
Z
Mixed-symbol notation
Dr. Ihab Talkhan
189
Note
 When a combinational circuit has two or more outputs, each
output must be expressed separately as a function of all the
input variables.
190
Dr. Ihab Talkhan
Code Converter Example
Decimal
Digit
0
1
2
3
4
5
6
7
8
9
BCD code
Excess-3 code
A
B
C
D
W
X
Y
Z
0
0
0
0
0
0
0
0
1
1
0
0
0
0
1
1
1
1
0
0
0
0
1
1
0
0
1
1
0
0
0
1
0
1
0
1
0
1
0
1
0
0
0
0
0
1
1
1
1
1
0
1
1
1
1
0
0
0
0
1
1
0
0
1
1
0
0
1
1
0
1
0
1
0
1
0
1
0
1
0
191
Dr. Ihab Talkhan
CD
00
01
11
CD
10
AB
AB
00
00
01
00
1
1
1
01
1
X
11
X
X
X
X
11
10
1
1
X
X
10
W  A  BC  BD
 A  B(C  D)
01
11
10
1
1
1
X
X
X
1
X
X
X  BC  BD  BCD
 B(C  D)  BCD
Dr. Ihab Talkhan
192
CD
00
01
11
CD
10
00
01
11
10
AB
AB
00
1
1
00
1
1
01
1
1
01
1
1
11
X
10
1
X
X
X
11
X
X
X
10
1
Y  CD  CD
 CD
X
X
X
X
X
ZD
193
Dr. Ihab Talkhan
Logic Diagram of BCD to Excess-3
code Converter
194
Dr. Ihab Talkhan
BCD to Seven-Segment Decoder
 Digital read-out found in electronic caculators and digital
watches use display devices such as light emitting diodes LED
or liquid crystal display LCD, each digit of the display is
formed from seven segments.
 Each consists of one LED or one crystal which can be
illuminated by digital signals.
195
Dr. Ihab Talkhan
0
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
A
B
C
D
a
b
c
d
e
f
g
0
0
0
0
0
0
0
0
1
1
0
0
0
0
1
1
1
1
0
0
0
0
1
1
0
0
1
1
0
0
0
1
0
1
0
1
0
1
0
1
1
0
1
1
0
1
1
1
1
1
1
1
1
1
1
0
0
1
1
1
1
1
0
1
1
1
1
1
1
1
1
0
1
1
0
1
1
0
1
1
1
0
1
0
0
0
1
0
1
0
1
0
0
0
1
1
1
0
1
1
0
0
1
1
1
1
1
0
1
1
Not valid (don’t care)
All other input
combinations
7-outputs
a
f
e
g
d
b
c
196
Dr. Ihab Talkhan
 We cannot use the don’t care condition here for the
six binary combinations 10101 – 1111, as the design
will most likely produce some arbitrary and
meaningless display of the unused combinations.
a  AC  ABD  BC D  A BC
b  A B  AC D  ACD  A BC
c  AB  AD  BC D  A BC
d  AC D  A BC  BC D  A BC  ABC D
e  AC D  BC D
f  ABC  AC D  AB D  A BC
g  AC D  A BC  ABC  A BC
14 AND gate and 7 OR
197
Dr. Ihab Talkhan
Arithmetic Circuits
 An arithmetic circuit is a combinational circuit that
performs arithmetic operations such as addition,
subtraction, multiplication and division with binary
numbers or with decimal numbers in a binary code.
Carry is added to
the next higher
order
pair
of
significant bits
0+0=0
0+1=1
1+0=1
1 + 1 = 10
One digit
Two digits
 A combinational circuit that performs the addition of
two bits is called a “Half Adder”.
198
Dr. Ihab Talkhan
 A combinational circuit that performs the addition of
three bits (two significant bits and a previous carry) is
called a “Full Adder”.
 Two Half Adders are employed to implement a Full
Adder.
 The Full adder circuit is the basic arithmetic
component from which all other arithmetic circuits
are constructed.
199
Dr. Ihab Talkhan
Half-Adder
 It is an arithmetic circuit that generates the sum of two binary
digits.
S  XY  X Y  X  Y
C  XY
Outputs
Inputs
Half-Adder
X
Y
C
S
0
0
1
1
0
1
0
1
0
0
0
1
0
1
1
0
200
Dr. Ihab Talkhan
Full-Adder
 It is a combinational circuit that forms the arithmetic sum of
three input bits.
Carry from the previous
lower significant position
201
Dr. Ihab Talkhan
S  X Y  Z
C  XY  Z ( X  Y )
Inputs
Outputs
YZ
X
X
Y
Z
C
S
0
0
0
0
0
1
1
1
1
0
0
1
1
0
0
1
1
0
1
0
1
0
1
0
1
0
0
0
1
0
1
1
1
0
1
1
0
1
0
0
1
1
Dr. Ihab Talkhan
00
01
11
1
1
10
1
1
S  X Y Z  X Y Z  X Y Z  XYZ
 X Y  Z
YZ
X
00
01
0
1
11
10
1
1
1
C  XY  XZ  YZ
1
 XY  Z ( X Y  X Y )
 XY  Z ( X  Y )
202
Binary Parallel Adder
 The sum of two n-bit binary numbers can be generated in serial
or parallel fashion.
 The serial addition method uses only one Full Adder and a
Storage device to hold the output carry.
 The parallel method uses n-Full Adders and all bits are applied
simultaneously to produce the sum.
B3
A3
FA
C4
S3
B2
C3
B1
A2
FA
C2
S2
FA
S1
4-bit Parallel Adder
Dr. Ihab Talkhan
B0
A1
C1
A0
FA
C0
S0
203
Example
A = 1011
B = 0011
Input Carry
0
1
1
0
Augend A
1
0
1
1
Addend B
0
0
1
1
1
1
1
0
0
0
1
1
Sum
S
Output
Carry
204
Dr. Ihab Talkhan
Binary Adder/Subtractor
 The subtraction of binary number can be done most
conveniently by means of complements
 The subtraction “ A-B “ is done by taking the 2’s
complement of “ B “ and adding it to “ A “.
 The 2’s complement can be obtained by taking the 1’s
complement and adding “1” to the least significant
bit.
 The 1’s complement can be implemented easily with
inverter circuit and we can add “1” to the sum by
making the initial input carry of the parallel adder
205
equal to “1”.
Dr. Ihab Talkhan
B3
A3
B2
B1
A2
B0
A1
A0
S
FA
C4
S3
C3
FA
C2
S2
FA
S1
C1
FA
C0
S0
S = C0 = 0
S = C0 = 1
addition
Subtraction
Adder/Subtractor Circuit
206
Dr. Ihab Talkhan
BCD Adder
 An adder that perform arithmetic operations directly with decimal number
system employ arithmetic circuit that accept decimal numbers and present
results in the same code.
 It requires a minimum of nine inputs and five outputs, Four bits to code
each decimal digit and the circuit must have an input and output carry.
 When C=0 , nothing is added to the binary sum
 When C=1, binary 0110 is added to the binary sum through the second 4bit adder.
 Any output carry from the second binary adder can be neglected.
 A decimal parallel adder that adds two n-decimal digits needs n BCD
adders, the output carry from each BCD adder must be connected to the
input carry of the adder in the next higher position.
207
Dr. Ihab Talkhan
Addend
Augend
4-bit binary adder
K
Z 3 Z 2 Z1 Z 0
input
carry
C
Condition for correction:
C  K  Z1Z 3  Z 2 Z 3
0
0
4-bit binary adder
Detect the binary
output from 1010 - 1111
Output carry from the
first Adder
Output carry
S3
S2
S1
BCD sum
Dr. Ihab Talkhan
S0
208
Binary Multiplier
 The multiplicand is multiplied by each bit of the
multiplier, starting from the least significant bit.
 Such multiplication forms a partial products.
 Successive partial products are shifted one position to
the left.
 The final product is obtained from the sum of the
partial products.
 For “j” multiplier bits and “k” multiplicand bits , we
need jxk AND gates and (j-1)k bit adders to produce
a product of j+k bits.
209
Dr. Ihab Talkhan
A0
B1
B0
A1
A0
B1
A1
B1
B0
B0
A0 B1 A0 B0
A1 B1 A1 B0
C3
C2
C1
HA
C0
C 3 C2
2-bit by 2-bit binary multiplier
Dr. Ihab Talkhan
HA
C1
C0
210
Decoders
 Discrete quantities of information are represented in digital
computers with binary codes.
 A binary code of n-bits is capable of representing up to 2n
distinct elements of coded information.
 A decoder is a combinational circuit that converts binary
information from n-coded inputs to a maximum of 2n unique
outputs.
 A decoder has n inputs and m outputs and is referred to as “
nxm decoder”
211
Dr. Ihab Talkhan
2-to-4 line Decoder with an Enable Input
E
A1
A0
D0
D1
D2
D3
0
0
0
0
1
0
0
1
1
x
0
1
0
1
x
0
1
1
1
1
1
0
1
1
1
1
1
0
1
1
1
1
1
0
1
212
Dr. Ihab Talkhan
A0
D0
A1
D1
D2
D3
E
213
Dr. Ihab Talkhan
Example
 Implement a Full Adder circuit with a decoder and
OR gates: S(X, Y, Z)   m(1,2,4,7)
C(X, Y, Z)   m(3,5,6,7)
 Three inputs  a total of eight minterms  we need
a 3-to-8 line decoder.
 This Decoder generates the eight minterms of X,Y,Z.
 The OR gate for output S forms the logical sum of
minterm 1,2,4,aand 7.
 The OR gate of output C forms the logical sum of
minterms 3,5,6 and 7.
214
Dr. Ihab Talkhan
0
1
2
3
4
5
6
7
X
Y
Z
C
S
0
0
0
0
1
1
1
1
0
0
1
1
0
0
1
1
0
1
0
1
0
1
0
1
0
0
0
1
0
1
1
1
0
1
1
0
1
0
0
1
Dr. Ihab Talkhan
215
Z
Y
X
S
20
21
22
C
3x8 Decoder
216
Dr. Ihab Talkhan
Encoders
 An Encoder has 2n (or less) input lines and n output
lines.
217
Dr. Ihab Talkhan
Priority Encoder
 It is a combinatinal circuit that implements the priority
function.
 The operation of the priority Encoder is such that, if two or
more inputs are equal to “1” at the same time, the input having
the highest priority will take precedence.
 The input D3 in the following Truth Table has the highest
priority, regardless of the values of the other inputs.
 Thus, if D3 is “1” , the output will indicate that A1A0 = 11, i.e.
the code A1A0 = 11 means that any data appears on line D3 will
have the highest priority and pass through the system
irrespective of the other inputs.
 If D2 = “1” and D3 = “0” the code A1A0 = 10 and this means
that D2 has the highest priority in this case.
218
Dr. Ihab Talkhan
Inputs
D1D0
D3D2
00
Outputs
D3
D2
D1
D0
A1
A0
V
0
0
0
0
1
0
0
0
1
X
0
0
1
X
X
0
1
X
X
X
0
0
0
1
1
0
0
1
0
1
0
1
1
1
1
01
11
10
D1D0
D3D2
00
01
00
00
11
10
1
1
01
1
1
1
1
01
11
1
1
1
1
11
1
1
1
1
10
1
1
1
1
10
1
1
1
1
Dr. Ihab Talkhan
219
A 0  D3  D1 D 2
A1  D 2  D3
V  D 0  D1  D 2  D3
D3
A0
D2
A1
D1
V
D0
4-input Priority Encoder
220
Dr. Ihab Talkhan
Multiplexers
 It is a combinational circuit that selects binary information
from one of many lines and directs it to a single output line.
 The selection of a particular input line is controlled by a set of
selection variables.
 Normally, there are 2n input lines and “n” selection variables
whose bit combinations determine which input is selected.
 As in decoders, multiplexers may have an enable input to
control the operation of the unit.
 When the enable input is in the active state, the outputs are
disabled.
 The enable input is useful for expanding two or more
multiplexers onto a multiplexer with a larger number of inputs.
221
Dr. Ihab Talkhan
S0
S1
D0
D1
Y
D2
D3
Function Table
S0
S1
Y
0
0
1
1
0
1
0
1
D0
D1
D2
D3
4-to-1 line Multiplexer ( MUX )
[ Data Selector ]
Dr. Ihab Talkhan
222
Implementing a Boolean Function of “n”
variables with a Multiplexer that “n-1”
Selection Inputs
 The first “n-1” variables of the function are connected
to the selection inputs of the multiplexer.
 The remaining single variable of the function is used
for the data inputs.
 If the single variable is “Z”, the data input of the
multiplexer will be either ;
Z, Z,1 or 0
223
Dr. Ihab Talkhan
Example
FX, Y, Z   m1,2,6,7 
X
0
0
0
0
1
1
Y
0
0
1
1
0
0
Z
0
1
0
1
0
1
F
0
1
1
0
0
0
1
1
1
1
0
1
1
1
FZ
Y
X
FZ
F0
F 1
4 x 1 MUX
F
Z
Z
0
1
224
Dr. Ihab Talkhan
General Steps
 The Boolean function is first listed in a truth table.
 The first “n-1” variables listed in the table are applied
to the selection inputs of the MUX.
 For each combination of the selection variables, we
evaluate the output as a function of the last variable.
 This can be 0, 1, the variable or the complement of
the variable.
225
Dr. Ihab Talkhan
Demultiplexer
 It is a digital function that performs the inverse
operation of a MUX.
 It receives information from a single line and
transmits it to one of 2n possible output lines.
 The selection of the specific output is controlled by
the bit combination of n-selection lines.
226
Dr. Ihab Talkhan
E
S0
D0
D1
S1
D2
D3
1-to-4 Demultiplexer
227
Dr. Ihab Talkhan
Sequential Circuits
228
Logic Circuits
Logic Circuits
Combinational
Sequential
 Consists of logic gates whose  It involves storage elements (FlipFlops).
outputs at any time are determined
directly from the values of the  Outputs are a function of inputs
present inputs.
and the state of the storage
elements, where the state of the
 No feedback or storage elements
storage elements is a function of
are involved.
the previous inputs.
 Circuit behavior must be specified
by a time sequence of inputs and
internal states.
229
Dr. Ihab Talkhan
Logic Circuits
Logic Circuits
Combinational
n
inputs
Sequential
Outputs
Inputs
Combinational
Circuit
m
outputs
Combinational
Circuit
Next
state
2 npossible input
combination
One possible
output for
each binary
combination
of input
variables
Storage
elements
Present state
230
Dr. Ihab Talkhan
 A sequential circuit is specified by a time sequence of inputs,
outputs and internal states. It contain memory and thus can
remember the changes of input signals that occurred in the
past.
 Inputs for the sequential circuit are functions of external inputs
and the present state of the storage elements.
 Both external inputs and the present states determine the
binary value of the outputs and the condition for changing the
state of the storage state.
Outputs = f( external inputs , present states)
Next state = f( external inputs , present states)
231
Dr. Ihab Talkhan
Sequential Circuits
Sequential Circuits
Synchronous
Asynchronous
 It is a system whose  It is a system whose
behavior can be defined behavior depends upon
from the knowledge of the order in which the
its signals at discrete inputs change, and the
state of the circuit can
instants of time
be affected at any
instant of time
232
Dr. Ihab Talkhan
 An asynchronous sequential circuit may be regarded as a
combinational circuit with feedback, thus the system may
operate in an unpredictable manner and sometimes may even
become unstable.
 The various problems encountered in asynchronous systems
impose many difficulties on the designer, and for this reason
they are seldom used.
 A synchronous sequential circuit employs signals that affect
the storage elements only at discrete instant of time, as
synchronization is achieved by a timing device called a “Clock
Generator” that produces a periodic train of clock pulses.
233
Dr. Ihab Talkhan
 The clock pulses are distributed throughout the system in such
a way that storage elements are affected only upon the arrival
of each pulse, the outputs of the storage elements change only
when clock pulses are present.
 The storage elements employed in clocked sequential circuits
are called “Flip-Flops”.
 A Flip-Flop is a binary storage device capable of storing one
bit of information.
 When a clock pulse is not active, the feedback loop is broken
because the Flip-Flop outputs cannot change even if the
outputs of the combinational circuit change in value, thus the
transition from one state to the other occurs only at
predetermined time intervals dictated by the clock pulses.
234
Dr. Ihab Talkhan
inputs
Combinational
Circuit
Outputs
Next
state
FLIP-Flop
Next state
change only
during a clock
pulse
transition
Clock pulses
Present state
Synchronous clocked sequential circuit
235
Dr. Ihab Talkhan
 A Flip-Flop circuit has two outputs, one for the
normal value and the other for the complemented
value of the bit that is stored in it.
236
Dr. Ihab Talkhan
Latches
 A Flip-Flop circuit can maintain a binary state
indefinitely (as long as power is delivered to the
circuit), until directed by an input signal to switch
states.
 Latches are the basic circuit from which all FlipFlops are constructed.
237
Dr. Ihab Talkhan
SR-Latch (NOR gates)
Action that must
be taken
S
R
Q
Q
Action
1
0
1
0
0
0
1
0
Set
state
0
1
0
1
0
0
0
1
Reset
State
1
1
0
0
Undefined
reset
set
No change
SR-Latch with NOR gates
238
Dr. Ihab Talkhan
SR-Latch (NAND gates)
Action that must
be taken
S
R
S
R
Q
Q
Action
0
1
1
0
1
1
1
0
Set
state
1
0
0
1
1
1
0
1
Reset
State
0
0
1
1
Undefined
set
reset
No change
SR-Latch with NAND gates
239
Dr. Ihab Talkhan
 Notice that, the S input in the SR NOR-Latch must go
back to “0” before any other changes can occur.
 There are two input conditions that cause the circuit
to be in the SET state, the first is the action that must
be taken by input S to bring the circuit to the SET
state, the second is the removing of the active input
from S leaving the circuit in the same state.
 When S=R=1 (NOR-gate latch), both outputs go to
“0”, this produces an undefined state and it also
violates the requirement that output Q and Q be the
complement of each other.
240
Dr. Ihab Talkhan
 Comparing the SR NAND-Latch and the SR NORLatch, we note that the input signals for the NAND
required the complement values of those used for the
NOR-Latch.
 Because the NAND-Latch require a “0” signal to
change its state, it is sometimes referred to as an S-R
Latch, the bar above the letters designates the fact
that the inputs must be in their complement form to
activate the circuit.
241
Dr. Ihab Talkhan
SR-Latch (NAND gates)
set
C
S
R
Next state of Q
0
X
X
No change
1
0
0
No change
1
0
1
Q=0 : reset state
1
1
0
Q=1 : set state
1
1
1
undetermined
reset
SR-Latch with NAND gates
and a control input
Dr. Ihab Talkhan
242
 An additional control input which determines when
the state of the latch can be changed is added to the
basic SR-Latch to improve its operation
 The control input C acts as an enable signal for the
other two inputs.
243
Dr. Ihab Talkhan
D-Latch
C
D
Next state of Q
0
X
No change
1
0
Q=0: reset state
1
1
Q=1: set state
244
Dr. Ihab Talkhan
 One way to eliminate the undesirable condition of the
indeterminate state in the SR-Latch is to insure that
inputs S & R are never equal to 1 at the same time.
 As long as the control input is at “0”, the crosscoupled SR latch has both inputs at the 1 level and the
circuit can not change regardless of the value of D.
245
Dr. Ihab Talkhan
JK Flip-Flop
C
J
K
Next state of Q
0
X
X
No change
1
0
0
No change
1
0
1
Q=0 : reset
state
1
1
0
Q=1 : set state
1
1
1
Complement
(toggle)
246
Dr. Ihab Talkhan
T Flip-Flop
C
T
Next state of Q
0
X
No change
1
0
No change
1
1
complement
247
Dr. Ihab Talkhan
Flip-Flops Characteristic
Tables & Equations
JK Flip-Flop
SR Flip-Flop
S
R
Q(t+1)
Operation
J
K
Q(t+1)
Operation
0
0
1
1
0
1
0
1
Q(t)
0
1
N/A
No change
Reset
Set
Indeterminate
0
0
1
1
0
1
0
1
Q(t)
0
1
Q(t)
No change
Reset
Set
Complement
Q( t  1)  S  RQ,
SR  0
Q( t  1)  JQ  KQ
D Flip-Flop
T Flip-Flop
D
Q(t+1)
Operation
T
Q(t+1)
Operation
0
1
0
1
Reset
Set
0
1
Q(t)
Q(t)
No change
Complement
Q( t  1)  D
Q( t  1)  TQ  TQ
Dr. Ihab Talkhan
248
Analysis Procedure
 Obtain the binary values of each Flip-Flop input
equation in terms of the present state and input
variables
 Use the corresponding Flip-Flop characteristic table
to determine the next state.
249
Dr. Ihab Talkhan
 The characteristic tables are a shorter version of the
truth table, it gives for every set of input values and
the state of the Flip-Flop before the rising-end (edge)
the corresponding state of the Flip-Flop after the
rising edge of the clock signal.
 By using K-map we can derive the characteristic
equation for each Flip-Flop
250
Dr. Ihab Talkhan
Flip-Flop Excitation Tables
SR Flip-Flop Excitation Table
JK Flip-Flop Excitation Table
Q(t)
Q(t+1)
S
R
Q(t)
Q(t+1)
J
K
0
0
1
1
0
1
0
1
0
1
0
X
X
0
1
0
0
0
1
1
0
1
0
1
0
1
X
X
X
X
1
0
D Flip-Flop Excitation Table
T Flip-Flop Excitation Table
Q(t)
Q(t+1)
D
Q(t)
Q(t+1)
T
0
0
1
1
0
1
0
1
0
1
0
1
0
0
1
1
0
1
0
1
0
1
1
0
Dr. Ihab Talkhan
251
 The excitation for each Flip-Flop, is used during the
analysis of sequential circuits. It is derived from the
characteristic table by transposing input and output
columns.
 It gives the value of the Flip-Flop‘s inputs that are
necessary to change the Flip-Flop’s present state to
the desired next state after the rising edge of the clock
signal.
252
Dr. Ihab Talkhan
 In addition to graphical symbols, tables, or equations,
Flip-Flops can also be described uniquely by means
of State diagrams or State graphs, in which case each
state would be represented by a circle , and a
transition between state would be represented by an
arrow.
253
Dr. Ihab Talkhan
State Diagram for various Flip-Flops
SR =00 or 01
Q=
0
SR = 10
SR = 01
SR =00 or 10
Q=
1
SR Flip-Flop
JK =00 or 01
Q=
0
JK = 10 or 11
JK = 01or 11
JK =00 or 10
Q=
1
JK Flip-Flop
254
Dr. Ihab Talkhan
State Diagram for various Flip-Flops
D=1
D=0
Q=
0
D=0
D=1
Q=
1
D Flip-Flop
T=1
T=0
Q=
0
T=1
T=0
Q=
1
T Flip-Flop
255
Dr. Ihab Talkhan
The State Diagram
 The state diagram can be obtained directly from the state table.
 The state is represented by a circle and the transition between
state is indicated by a directed lines connecting the circles.
 The directed lines are labeled with two binary numbers
separated by a slash, the input value during present state and
the second is the output during the present state.
 Same state can represent both the source and destination of a
transition.
 Each state can be thought of as a time interval between two
rising edges of the clock signal.
256
Dr. Ihab Talkhan
The State Diagram (cont.)
During
present state
Input / output
Q=
1
Q=
0
State of a
Flip-Flop
Directed line
257
Dr. Ihab Talkhan
Example
 Consider a sequential circuit with two JK Flip-Flops
(A & B) and one input “X”, specified by the following
input equations:
JA  B
K A  BX
JB  X
K B  A X  AX
258
Dr. Ihab Talkhan
A
JA  B
K A  BX
JB  X
K B  A X  AX
Dr. Ihab Talkhan
B
259
State Table
Present State
Input
Next State
Flip-Flop
Inputs
A
B
X
A
B
JA
KA
JB
KB
0
0
0
0
1
1
1
1
0
0
1
1
0
0
1
1
0
1
0
1
0
1
0
1
0
0
1
1
1
1
0
1
1
0
1
0
1
0
0
1
0
0
1
1
0
0
1
1
0
0
1
0
0
0
1
0
1
0
1
0
1
0
1
0
0
1
0
1
1
0
1
0
JK Flip-Flop Excitation Table
JK Flip-Flop Characteristic Table
Q(t)
Q(t+1)
J
K
J
K
Q(t+1)
Operation
0
0
1
1
0
1
0
1
0
1
X
X
X
X
1
0
0
0
1
1
0
1
0
1
Q(t)
0
1
Q(t)
No change
Reset
Set
Complement
Dr. Ihab Talkhan
260
Steps
 Find J A, K A, J B, K B from the equations
 Find the next state from the corresponding J & K inputs using
the characteristic table of the JK Flip-Flop.
261
Dr. Ihab Talkhan
State Diagram
Value of
input X
0
1
01
00
0
0
0
1
1
11
10
0
262
Dr. Ihab Talkhan
State Reduction
 It is the reduction of the number of flip-flops in a sequential
circuit
 It is concerned with procedures for reducing the number of
states in a state table, while keeping the external input/output
requirements unchanged.
 Knowing that “m” flip-flops produce “2m” states, a reduction
in the number of states may or may not result in a reduction in
the number of flip-flops.
 An unpredictable effect in reducing the number of flip-flops is
that the equivalent circuit might require more combinational
gates.
263
Dr. Ihab Talkhan
Example
 Consider the state diagram shown.
 Only the input/output sequences
are important
 The states inside the circles are
denoted by letter symbol instead
of their binary values.
 There are infinite number of input
sequences that may be applied to
the circuit, each results in a
unique output sequence.
 Consider the input sequence
01010110100 and the initial state
is “a”.
264
Dr. Ihab Talkhan
Example (cont.)
 Each input of “0” or “1” produce an output of “0” and “1” and
causes the circuit to go to the next state.
 Thus using the state diagram with the given input sequence
and “a” as the initial state, the complete sequence is as
follows:
State
a
a
b
c
d
e
f
f
g
f
g
Input
0
1
0
1
0
1
1
0
1
0
0
Output
0
0
0
0
0
1
1
0
1
0
0
Note we are only concerned with the input/output relationships
Dr. Ihab Talkhan
a
265
Example (cont.)
 It is more convenient to apply procedure for state reduction
using a table rather than a diagram.
 The state diagram is given by [ as obtained from the state
diagram]:
Next State
Present State
a
b
c
d
e
f
g
Output
x=0
x=1
x=0
x=1
a
c
a
e
a
g
a
b
d
d
f
f
f
f
0
0
0
0
0
0
0
0
0
0
1
1
1
1
Dr. Ihab Talkhan
266
Example (cont.)
267
Dr. Ihab Talkhan
Example (cont.)
268
Dr. Ihab Talkhan
Master-Slave Flip-Flop
 It consists of two Latches and an inverter.
 When clock pulse input C=“1”, then the output of the inverter
is “0”. Thus the Master is enabled and its output Y is equal to
the external input D and the Slave is disabled.
 When clock pulse input C=“0”, then the output of the inverter
is “1”. Thus the Slave is enabled and its output Q is equal to
the Master output Y and the Master is disabled.
 Any changes in the external D input changes the master output
Y but cannot affect the Slave output Q.
269
Dr. Ihab Talkhan
MASTER
SLAVE
C
External D
D
Y
Q
270
Dr. Ihab Talkhan
Master-Slave with a JK Flip-Flop
 Replacing the Master D Latch with an SR Latch with
control input, the result is a Master-Slave SR FlipFlop. But the SP Flip-Flop has the undesirable
condition of producing an indeterminate next state
when S=R=1.
 A modified version of the SR Flip-Flop that
eliminates the undesirable condition is the JK FlipFlop, in this case when J=K=1, it causes the output to
complement its value
271
Dr. Ihab Talkhan
Master-Slave with a JK Flip-Flop (cont.)
MASTER
SLAVE
S
R
272
Dr. Ihab Talkhan
Flip-Flips with Asynchronous Inputs
 Each Flip-Flop is usually available with and without
asynchronous inputs, that are used to preset and clear the FlipFlops independently of other Flip-Flop inputs.
 These inputs are used to set the Flip-Flops into initial state for
their standard operation, as when power is turned on, the state
of each Flip-Flop is not predictable, thus we must use
asynchronous inputs to set the Flip-Flop properly.
 Asynchronous means, inputs do not depend on the clock signal
and therefore have precedence over all other operations.
273
Dr. Ihab Talkhan
Flip-Flips with Asynchronous Inputs
C
CLR & PRS are asynchronous inputs
274
Dr. Ihab Talkhan
Active-high CLR & PRS
Active-low CLR & PRS
275
Dr. Ihab Talkhan
Edge Triggered Flip-Flop (Latch)
 It is divided into three Latches:
The SET latch
The Reset Latch
The Output Latch
 A low value of asynchronous signals affects the FLIP-Flop:
The Latch is preset by the signal PRS = 0
The Latch is cleared by the signal CLR = 0
 Note that, the preset and clear signals force all the latches into
proper states that correspond to Q = 1 & Q = 0 respectively.
276
Dr. Ihab Talkhan
SET Latch
OUTPUT Latch
277
RESET Latch
Dr. Ihab Talkhan
Edge Triggered Flip-Flop (Latch) (cont.)
 Active-low preset and clear signals are more
frequently found in practice.
 Note that, the SET latch follows the changes in the
CLK signal if D is equal to “1” at the rising edge of
the CLK signal, while the RESET latch follows the
CLK signal if D=0 at the rising edge of the CLK
signal.
278
Dr. Ihab Talkhan
Registers
 The simplest of the storage components.
 Each register consists of n-Flip-Flops driven by a
common clock signal.
 SET (Preset) and RESET (Clear) inputs are
independent of the clock signal and have priority over
it.
 The register store any new data automatically on
every rising edge of the clock.
279
Dr. Ihab Talkhan
Preset
4-bit register
I3
CLK
Clear
Dr. Ihab Talkhan
Q3
Q2
I2
Q1
I1
Q0
I0
280
Register with a Selector (Mutliplexer)
 To control the input data of a register, a selector
(Multiplexer [MUX]) unit is used, where a selector is
a device that accepts many inputs and selects only
one of them at a time to represent the output [ 2ninputs, n-control and one output ].
 A control signal “LOAD” or “Enable” is used, which
allows loading the data into the register [parallel-load
register].
 The selector, selects either input data or data already
stored in the register.
281
Dr. Ihab Talkhan
Load = 1
0
enter new data (Ii , i = 0,1,2,3)
enter previous
stored data (Qi , i = 0,1,2,3)
Dr. Ihab Talkhan
282
Shift Register
 It shifts its contents one bit in the specified direction
when the control signal “SHIFT” is equal to “1”.
 It is used to convert a serial data stream into a parallel
stream.
283
Dr. Ihab Talkhan
4-bit serial-in/parallel-out
Shift-right register
1010
284
Dr. Ihab Talkhan
A Multi-Functional Register
 By using a 4-to-1 Selector, you can combine the SHIFT and
LOADING functions into one unit.
 It either shift its contents or load new data.
 It could shift one-bit either to the left or to the right depending
on the selection mode.
Present state
S1
S0
0
0
1
1
0
1
0
1
Operation
No change
Load input
Shift Left
Shift Right
Dr. Ihab Talkhan
Next State
Q3
Q2
Q1
Q0
Q3
I3
Q2
IL
Q2
I2
Q1
Q3
Q1
I1
Q0
Q2
Q0
I0
IR
Q1
285
A Multi-Functional Register (cont.)
D 0  S1 S0Q 0  S1S0 I 0  S1 S0 I R  S1S0Q1
Di  S1 S0Qi  S1S0 Ii  S1 S0 Qi1  S1S0Qi1
1 i  2
D3  S1 S0Q3  S1S0 I3  S1 S0Q 2  S1S0 I L
286
Dr. Ihab Talkhan
3 2
1
0
3 2
1
0
3 2
1
0
3 2
1
0
287
Dr. Ihab Talkhan
Counters
 A counter is a special type of a register.
 It incorporates an incremental, which allows it to count upward or
downward.
 The incremental consists of a series of Half-Adders [HA] arranged such
that an HA in bit position “i” will have two inputs connected to the output
of the Flip-Flop Qi and the carry Ci from he HA in position “i-1”.
 The counter equation is as follows:
Di  Qi  Ci
Ci 1  Qi Ci
 As long as E=1, the counter will count-up modulo 4, adding “1” to its
content on every rising edge of the clock.
288
Dr. Ihab Talkhan
Enable
Present
Next
E
>
F.F.
Q2 Q1 Q0
Clear
Q2
Q1
Q0
E
Q2
Q1
Q0
D2
D1
D0
0
0
0
0
1
1
1
1
0
0
1
1
0
0
1
1
0
1
0
1
0
1
0
1
1
1
1
1
1
1
1
1
0
0
0
1
1
1
1
0
0
1
1
0
0
1
1
0
1
0
1
0
1
0
1
0
0
0
0
1
1
1
1
0
0
1
1
0
0
1
1
0
1
0
1
0
1
0
1
0
0
1
2
3
4
5
6
7
Counter
Enable = 0 no change
= 1 count
D Flip-Flop Excitation Table
Q(t)
Q(t+1)
D
0
0
1
1
0
1
0
1
0
1
0
1
Three states
3 Flip-Flops, we
will use D F.F. as an example
289
Dr. Ihab Talkhan
Q1Q0
00
Q2
01
11
Q1Q0
00
Q2
10
01
11
10
0
1
1
0
1
1
1
1
1
1
1
1
D1  Q1Q0  Q0 Q1
D0  Q0
Q1Q0
00
Q2
01
11
0
1
10
 Q0  Q1
1
1
1
1
D2  Q2 Q1  Q2 Q0  Q2Q1Q0


 Q2 Q1  Q0  Q2Q1Q0
 Q2 Q1Q0  Q2Q1Q0
 Q2  Q1Q 0
290
Dr. Ihab Talkhan
Half-Adder
E
C0
C1
C2
C3
carry
D2
D1
Q2
D0
Q1
3-bit up-counter
Dr. Ihab Talkhan
Q0
291
292
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293
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294
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Up/Down Counter
 The previous counter can be extended to represent an up/down
counter, if we replace the Half-Adder with a HalfAdder/Subtractor [HAS], which can increment or decrement
under the control of a direction signal “ D “, in this case the
counter equation will be:
Di  Qi  Ci
Ci 1  DQi Ci  DQi Ci
295
Dr. Ihab Talkhan
Direction signal ,
D=0
count up, D = 1
count down
D
E
C3
C0
C1
C2
Carry
D1
D2
CLK
E
D
0
1
1
X
0
1
D0
CLEAR
No change
Count-up
Count-down
Q2
Q1
4-bit up/down Binary Counter
Dr. Ihab Talkhan
Q0
296
Half-Adder/Subtractor
[ HAS ]
D
Qi
E = Ci
Ci+1
D
Qi
Di
297
Dr. Ihab Talkhan
3-bit up/down Counter with Parallel Load
[ Presetable Counter ]
I2
I1
I0
D
E
Output carry
HAS
HAS
Selector
HAS
Selector
Selector
Load
CLK
Clear
Q2
Q1
Dr. Ihab Talkhan
Q0 298
4-bit up/down Counter with Parallel Load
[ Presetable Counter ] [cont.]
Load
E
D
Operation
0
0
0
1
0
1
1
X
X
0
1
X
No change
Count-up
Count-down
Load input
299
Dr. Ihab Talkhan
300
Dr. Ihab Talkhan
BCD Counter
 It can be constructed by detecting when the counter reaches a
count of “9” and loading “0” instead of “10” in the next clock
cycle.
 The detection is accomplished by an AND gate whose output
is equal to “1” when the content of the counter is equal to
“1001”.
 The output of the AND is connected to the Counter's Load
input, which allows the counter to load “0” at the next rising
edge of the clock.
 In the up direction we must load “0” into the counter when it
reaches a count of “9”, while in the down direction we must
load “9” when the counter reaches a count of “0”.
301
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302
Dr. Ihab Talkhan
0
0
0
0
0
Up/Down Counter
BCD up-counter
Dr. Ihab Talkhan
303
Up/Down BCD Counter
S
Selector
Up/Down Counter
304
Dr. Ihab Talkhan
Asynchronous Counter
 All Flip-Flops are not all clocked by the same clock signal
 There is no need to use an incremental or decremental,
counting is achieved by toggling each Flip-Flop at half the
frequency of the preceding Flip-Flop.
 The Flip-Flop will change its state on every 0-to-1 transition
of its clock input.
 Note, the clock signal “CLK” is used to only clock the FlipFlop in the least significant position.
 The clock-to-output delay of the ith Flip-Flop is equal to “i”.
 The maximum counting frequency of an n-bit asynchronous
counter is:
1
f
n
305
Dr. Ihab Talkhan
T
T
T
4-bit Asynchronous Up-Counter
Dr. Ihab Talkhan
T
306
CLK
0
1
2
3
4
5
6
7
8
4
Q3
3
Q2
2
Q1
Q0

t0
t1
t2
t3
t4
t5
t6
t7
307
Dr. Ihab Talkhan
Ring Counter
 It is a circular shift-register with only one flip-flop
being set at any particular value, all others are
cleared.
 The single bit is shifted from one flip-flop to the next
to produce the sequence of timing signals.
 To generate “2n” timing signals , we need either a
shift register with “2n” flip-flops or an n-bit binary
counter together with a n-to-2n line decoder.
308
Dr. Ihab Talkhan
Ring Counter (cont.)
Each flip-flop is
in the “1” state
once every four
cycles
309
Dr. Ihab Talkhan
Johnson Counter
 It is a k-bit switch-tail ring counter with 2k decoding
gates to provide output for 2k timing signals. [k
distinguishable states]
310
Dr. Ihab Talkhan
Johnson Counter (cont.)
311
Dr. Ihab Talkhan
Counter with unused states
States that are not used in
specifying the sequential circuit are
not listed in the state diagram
312
Dr. Ihab Talkhan
Ripple Counter
 A binary ripple counter consists of a series connection
of complementing flip-flops, with the output of each
flip-flop connected to the clock input of the next
higher-order flip-flop.
 The flip-flop holding the least significant bit receives
the incoming count pulses.
 It is an asynchronous sequential circuit.
313
Dr. Ihab Talkhan
Ripple Counter (cont.)
314
Dr. Ihab Talkhan
BCD Ripple Counter
315
Dr. Ihab Talkhan
Three-Decade Decimal BCD Counter
316
Dr. Ihab Talkhan
Mixed-mode Counters
 To speed up an asynchronous counter, we must make
it partly synchronous.
 To do this, we divide a large counter into n-bit slices,
so that the operation within each slice is
asynchronous, while the propagation between slices is
synchronous, or vice versa.
317
Dr. Ihab Talkhan
Asynchronous
Counter
Asynchronous
Counter
Synchronous Counter with 4-bit Asynchronous Slices
8-bit Mixed-mode Counter
Dr. Ihab Talkhan
318
Synchronous
Counter
Synchronous
Counter
Asynchronous Counter with 4-bit Synchronous Slices
8-bit Mixed-mode Counter
Dr. Ihab Talkhan
319
Memory & Programmable
Logic
320
Major Units
 For any system, there are three major units:
Central processing unit CPU
Memory unit
Input/Output unit
 In digital system, memory is a collection of cells
capable of storing binary information (permanent or
temporary).
 It contains electronic circuits for storing and
retrieving information.
 It interacts with the CPU and input/output units.
321
Dr. Ihab Talkhan
Memory types
Random Access Memory
RAM
Read Only Memory
ROM
• It is a programmable logic
devices PLDs, which are
integrated
circuits
with
internal
logic
gates
connected
through
electronic fuses.
• Accept new information for
storage to be available later
for use (write)
• Transfer stored information
out of memory (read)
• RAMs may range on size
from hundreds to billions of
bits.
• Programming is done by
blowing these fuses to
obtain the desired logic
function.
• It is volatile
322
Dr. Ihab Talkhan
Conventional
Symbol
Array Logic
Symbol
323
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324
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325
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326
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327
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328
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329
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330
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331
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Example of a PLD Chip
332
Dr. Ihab Talkhan
333
Dr. Ihab Talkhan
Programming Technology
 To establish the programmable connections the
following technologies are used:
EPROM
EEPROM
FLASH
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EPROM
 used to create a wired –AND function. The transistor has two
gates, a select gate and a floating gate, charge can be
accumulated and trapped on the floating gate by a mechanism
called avalanche injection or hot electron injection. These
transistors are referred to as FAMOS (Floating gate
Avalanche-injection MOS). Note that without a charge on the
floating gate the FAMOS acts as a normal n-channel transistor
in that when a voltage is applied to the gate, the transistor is
turned on. EPROM cells provide a mechanism to hold a
programmed state, which is used in PLDs or CPLDs to
establish or not establish a connection. To erase the cell
remove charge from the floating gate by exposing the device
to ultraviolet light. (typical erasure time is about 35 minutes
under high-intensity UV light.
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EEPROM
 E2PROM, used to create a wired AND-function. It consists of
two transistors (select & storage transistors). These transistors
are referred to as FLOTOX (Floating gate Tunnel Oxide
transistors). It is similar to the FAMOS except that the oxide
region over the drain is considerably smaller, less than 10 Ao
(Angstroms) compared to 200 Ao for the FAMOS. This allows
charges to be accumulated and trapped on the floating gate by
a mechanism called Fowler-Nordheim tunneling. E2PROM
cells require a select transistor because when the floating gate
does not hold a charge, the threshold voltage of the FLOTOX
transistor is negative.
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FLASH
 like E2PROM, FLASH cells consist of two transistors
(select & storage transistors). They create a wired
AND function. The storage Transistor is a FAMOS,
so programming is accomplished via hot electron
injection. However the floating gate is shared by an
eraser transistor that take charge off it via tunneling.
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RAM
 Random access from any random location.
 It stores information in groups of bits (called
“words”.
 A word is a group of 1’s & 0’s (represents numbers,
instructions, alphanumeric characters, binary coded
information).
 Normally, a word is a multiples of 8 bits (1 byte) in
length, where 1 byte = 8 bits.
 Capacity of memory = total number of bytes.
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Communications between Memory &
Environment
 Communications between memory and environment
is done through:
In/Out lines
Address selection lines
Control lines
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Memory Unit Block Diagram
n data-in lines
K-address
K-address = specify particular
lines
Read
Write
Memory Unit
2k words
n bits/word
word chosen
R/W Control = Direction of transfer
n data-out lines
• Computer range from 210=1024 words (requiring address of 10-bits) to
232 (requiring 32 address bits)
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Units
 Kilo “K” = 210
 Mega “M” = 220
 Gega “G” = 230
 64 K = 216
(26 x 210 )
 2 M = 221
 4 G = 232
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Memory Address
Binary
Decimal
Memory Content
0000000000
0
1101100101011100
1111111111
1023
Content of 1024 x 16 Memory L 1K x 16bit
i.e. 10 address lines & 16-bit word
Note: 64K x 10 16 bits in address , 10-bits word
2k = m , m total number of words, K number of address bits (lines)
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Write & Read
 Write
Transfer binary address of desired word to address lines.
Transfer data bits that must be stored to data-in lines
Activate write-in
 Read
Transfer binary address to address lines.
Activate read-in
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Memory Chip Control
Select
IN
Out
S
R
R/W
Basic Cell
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Memory Select
Read/Write
Operation
0
X
None
1
0
Write
1
1
Read
Select
R/W =
1
read path from F.F to output
0
In to F.F.
IN
Basic
OUT
Cell
R/W
m words of n-bits/word consists of n x m binary storage cells
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Addresslines
RAM
16 x 4
Memory Select
R/W
DataIN
DataOUT
Memory Chip Symbol
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3-State Buffer
 It exhibits three distinct states, two of the states are
the logic 1 and logic 0 of conventional logic. The
third state is the high-impedance (Hi-Z) state.
 The high-impedance state behaves like an open
circuit, i.e. looking back into the logic circuit, we
would find that the output appears to be disconnected.
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IN
OUT
ENABLE ) EN)
EN
IN
OUT
0
1
1
X
0
1
Hi-Z
0
1
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Properties of Memory
 Integrated circuit “RAM” may be either Static or Dynamic
RAM
Static RAM (SRAM)
Dynamic RAM (DRAM)
• It consists of internal latches that
store the binary information.
• The stored information remain valid
as long as power is applied to the
RAM
• It stores the binary information
in the form of electric charges
on capacitors, the capacitors
are accessed inside the chip
by n-channel MOS transistors.
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RAM
Static RAM (SRAM)
• SRAM is easier to use and
has shorter read/write cycles.
• No refresh is required
Dynamic RAM (DRAM)
• The stored charge on the
capacitors tends to discharge
with time, and the capacitors
must be periodically recharged
by refreshing the DRAM. This is
done by cycling through the
words every few milliseconds,
reading and rewriting them to
restore the decaying charge.
• It
offers
reduced
power
consumption and larger storage
capacity in a single DRAM chip
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 Memory units that lose stored information when
power is turned-off are said to be Volatile.
 Both SRAM & DRAM are of this category, since the
binary cells needs external power to maitain the
stored information.
 Magnetic disks, CDs as well as ROM are non-volatile
memories, as they retain their stored information after
the removal of power.
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Array of RAM Chips
 Combine a number of chips in an array to form the
required memory size.
 Capacity = number of words & number of bits/word
 increase in words  increase in address
 Usually input and output ports are combined, to
reduce the number of pins on the memory package.
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4 x 4 memory
4 x 4 Memory
 It consists of 16 memory cells “MCs”.
 For each memory access, the address decoder decodes the
address and selects one of the rows.
 If RWS & CS are both equal to “1”  the new content will be
written into each cell of the row selected. Note that the output
drivers are disabled to allow the new data to be written-in
 If RWS = 0 & CS = 1  the data from the row selected will be
passed through the tri-state drivers to the IO pins.
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