Introduction Chapter 1

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Introduction

Chapter 1

Signals

A signal is a function of time, e.g.,

 f is the force on some mass

 vout is the output voltage of some circuit p is the acoustic pressure at some point notation:

 f, vout, p or f(.), vout(.), p(.) refer to the whole signal or function

 f(t), vout(1.2), p(t + 2) refer to the value of the signals at times t, 1.2, and t + 2, respectively for times we usually use symbols like t, t

, t1, . . .

Signal Example

Real Signals

 AM radio signal

 FM radio signal

 cable TV signal

 audio signal

 NTSC video signal

 10BT Ethernet signal

 telephone signal

System

 a system transforms input signals into output signals a system is a function mapping input signals into output signals we concentrate on systems with one input and one output signal, i.e., single-input, single-output (SISO) systems notation:

 y = S(u) means the system S acts on input signal u to produce output signal y

Block System

 systems often denoted by block diagram

 boxes denote systems; arrows show inputs & outputs

 lines with arrows denote signals (not wires) special symbols for some systems

System Example

Signals and Systems

 Modeling the physical world

Physical system (e.g., LRC circuit) – using mathematical equation

Input/output signal – using mathematical function

Signals and Systems

 Example: LRC

LRC represented by a mathematical Equation

 ordinary diff. eqn.

 No sampling (continuous time system)

V(i) is a mathematical function

Signals and Systems - Examples

Different systems can be MODELED using the same mathematical function

Signals and Systems - Examples

Human speech production system — anatomy and block diagram

Signals and System Categorizations

 Continuous time (analog)

 Discrete time (digital)

Systems Described in Differential Equations

 Many systems are described by a linear constant coefficient ordinary differential equation (LCCODE)

Second Order Continuous System

 Second-order RC circuit

 Closed loop system Find the mathematical relationship in terms of input

& output

Remember: v

1

-y = i

R2

 v

1

=i

R2

+y and i(t) =C dv/dt

Substitute:

The 2 nd order diff eqn can be solved using characteristic equation or auxiliary equation

Continuous System Example

 A digital player/recorder

Analog/Digital

Converter

Processor

Digital/Analog

Converter

Analog Input

Sampling Signal

Reconstructed

Digital Signal

Digital Output

Sample Matlab Code To Generate

Signal on the Soundcard!

%%%%%%%

% The following program will send a 500 Hz sine wave to analog

% output channel 1 for one second.

%%%%%%%

%%Open the analog device and channels

AO = analogoutput('winsound',0); chan = addchannel(AO,1);

%% Set the sample rate and how long we will send data for

%% 44,100 Hz, 1 seconds of data duration = 1; %in seconds frequency = 500 %in Hz

SampleRate = 44100; set(AO,'SampleRate',SampleRate) set(AO,'TriggerType','Manual')

NumSamples = SampleRate*duration;

%% Create a signal that we would like to send, 500 Hz sin wave x = linspace(0,2*pi*frequency,NumSamples); y = tan(sin(1*x))' - sin(tan(1*x))';

%y = sin(x)';

%data = y data = awgn(y,10,'measured'); % wite noise

%% Put the data in the buffer, start the device, and trigger

 putdata(AO,data) start(AO) trigger(AO)

%% clean up, close down waittilstop(AO,5) delete(AO) clear AO

%% clean up, close down

%% Now let's plot the function for 5 cycles x = 0:.1:2*pi*5; data = tan(sin(x)) - sin(tan(x)); plot(x,data)

%% Now let's add random noise

%y = awgn(data,10,'measured'); % Add white Gaussian noise.

y = sin(x)'; plot(x,data,x,y) % Plot both signals.

legend('Original signal','Signal with AWGN');

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