BIRLA INSTITUTE OF TECHNOLOGY & SCIENCE PILANI
K K BIRLA GOA CAMPUS
I SEMESTER 2023 - 2024
COURSE HANDOUT (PART II)
Date: 10/08/2023
In addition to Part I (General Handout for all courses appended to the timetable) this portion gives further
specific details regarding the course.
Course No
: ECE, EEE F434
Course Title
: Digital Signal Processing
Instructor-in-charge : SARANG C. DHONGDI
Instructor
: Chirayu Amita Dilip Athalye
Lab Instructors
: Sarang Dhongdi, Amaya Rose
1. Course Description:
This course covers fundamentals of discrete-time signals, systems, and modern signal processing. It deals
with basic design of analog filters such as Butterworth and Chebychev and digital filter design for both IIR &
FIR filters. Different filter structures for the realization of digital filters will be discussed. Multirate DSP will
be introduced. This course will also cover various applications of DSP in electrical engineering field.
2. Scope and Objective:
The course aims at enumerating the theoretical and practical aspects of signal processing in digital
environment. It aims at discussing various applications of DSP in area of electrical engineering.
3. Text Book:
T1. “Digital Signal Processing” S.K Mitra, TMH, Third Edition.
4. Reference Books:
R1.“Digital Signal Processing: A Practical Approach”, Emmanuel C Ifeachor & Barrie W. Jervis, Pearson
Education Asia, Second Ed., 2003.
R2. “Discrete-Time Signal Processing”, 3rd edition, A.V. Oppenheim and R.W. Schafer, Pearson India,
2022..
R3. “Digital Signal Processing: Principles, Algorithms and Application”, John G Proakis & D G Manolakis,
PHI, 1998.
5. Course Plan:
Lecture
No.
1
2-3
4-5
6-7
8-9
10
Learning Objectives
Overview of the course
Understanding details of
discrete time signals
Understanding details of
discrete time systems
Different interesting
examples of Discrete time
system
Discrete-time Fourier
transform
Concept of filtering
Topics to be covered
Introduction to Digital signal
processing
Classifications and imp properties of
discrete time signals
Classifications and imp properties of
discrete time signals
Examples such as accumulator,
moving-average filter, exp weighted
running average filters etc.
Frequency domain representation of
discrete time signals and LTI-DT
systems
Example of simple digital filter
Reference
Ch. 1[T1],
Ch. 1[R2]
Ch. 2 [T1]
Ch. 2 [T1]
Ch. 2 [T1]
Ch. 3 [T1],
Ch.2 [R2]
Ch. 3 [T1]
11-12
Discrete Fourier transform
13-14
Fast Fourier Transform
15-16
Z-transform
17-19
Transfer function
20-22
LTI discrete time system
in transform domain
Simple realizable FIR and
IIR filter approximations
FIR digital filter design
23-25
26-29
30
MATLAB implementation
of FIR filters
31-33
IIR digital filter design
IIR digital filter design
34
35
36-37
IIR digital filter design
techniques
IIR digital filter design
38-39
Digital filter structures
40
41-42
Multi rate DSP
Multi rate DSP
Definition, properties, Use cases of
Ch. 5 [T1]
DFT, Circular shift, circular
convolution
Definition, Introducing DIT radix-2
Ch. 8 [R3]
algorithm, DIF algorithm, Inverse
and Class
transform and use cases
notes
Understanding Z transform as a tool
Ch. 6 [T1]
for analysis and design of digital filters
Examples of digital filters in Z
Ch. 6 [T1]
domain, Geometric interpretation of
frequency response computations
Magnitude and Phase characteristics,
Ch.7 [T1]
Types of Linear phase FIR filters
Simple digital filters
Ch.7 [T1]
FIR filter design – using window
technique, Interpolated FIR method,
Sampling method etc.
Introducing various commands, GUI
features of MATLAB for FIR digital
filter – Solving problems.
Approximation techniques for Analog
low-pass filtersa) Butterworth filters,
b) Chebychev Filters
Analog highpass, bandpass and
bandstop filter design using frequency
transformations
Bilinear transformation for IIR filter
design
Solving problems, Implementation of
IIR digital filters using MATLAB
commands and GUI
Different structural representations of
FIR and IIR filters
Introduction
Decimation & Interpolation
Ch. 10 [T1],
Ch. 7 [R1]
Ch. 10 [T1],
Class notes
Ch 4.4 [T1]
Ch 4.5[T1]
Ch. 9 [T1]
Ch. 9 [T1],
class notes
Ch. 8 [T1]
Ch. 13.1[T1]
Ch.13.2[T1]
6. Evaluation Scheme:
EC
No.
1
Evaluation
Component
Mid-term exam
Duration
(min)
90 Mins
percentage
weightage
30%
2
Quizzes
TBA
3
Regular Lab
---
16% (8% per
Quiz)
10%
4
6
Assignments
Comprehensive
Exam
---180 Min
9%
35%
Date, Time & Venue
Nature
11/10/2023, 09:00 -10:30 PM
CB
2 best out of 3 will be considered.
OB
Details provided Separately. 5 best out of
6 evaluations will be considered. Each lab
session is for 2% weightage.
Details will be announced later.
06/12/2023 (AN)
OB
2
OB
CB
7. Make-up policy – Make-up exams will not be provided for Quizzes, Assignments and Regular Labs. For
Mid-term exam and Compre exam, make-up will be provided only in extremely genuine cases.
8. Chamber Consultation Hour: TBA
9. Notice: Notices concerning this course will be put on Course moodle (Quanta) page.
Instructor-in-Charge
ECE-EEE F434
3