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EE  221 Signals Analysis and Systems EE  221 Signals Analysis and Systems

EE 221 Signals Analysis and Systems - PowerPoint Presentation

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EE 221 Signals Analysis and Systems - PPT Presentation

Instructor Dr Ghazi Al Sukkar Dept of Electrical Engineering The University of Jordan Email ghazialsukkarjuedujo 1 Fall 2014 2 Course Details Objective Establish a background in Signal and System Analysis ID: 722820

signal time signals system time signal system signals fall discrete continuous input systems amplitude 2014 output set independent variable

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Slide1

EE 221Signals Analysis and Systems

Instructor: Dr. Ghazi Al SukkarDept. of Electrical EngineeringThe University of JordanEmail: ghazi.alsukkar@ju.edu.jo

1

Fall 2014Slide2

2

Course DetailsObjectiveEstablish a background in Signal and System Analysis

Get familiar with signals and systems applicationsGrading First Exam 20% Second Exam

30%

Final Exam

50%

Text Book

Signals, Systems and Transforms

,

Prentice Hall,

4

th

Edition

Charles L. Philips et.alSlide3

3

Useful ReferencesSignals and Systems Analysis, second edition, By: Samir Soliman, et. al Introduction to Comm. Systems, third edition, By: Ferril

StremlerLinear Systems and Signals, B.P second edition, By: LathiSlide4

Course Websitehttp://academic.ju.edu.jo/ghazi.alsukkar/default.aspx

4Slide5

OutlineIntroductionSignals, Systems and Transforms:Signal Definition

System definitionContinuous-time vs. Discrete-timeAnalog vs. DigitalAnalysis vs. SynthesisFall 20145Slide6

Signal definitionA function of one or more independent variables which conveys information on the nature of a physical phenomenon.Examples:Temperature vs. time

Closing value of a stock market vs. dayFall 20146

 

 Slide7

Cont..

: signal of one independent variable (e.g. time), is called dependent variable.A common convention is to refer to the independent variable as time, although may in fact not. is a signal of four independent variables.

 Fall 20147Slide8

ModelingPhysical signal

Mathematical functionExamples:Temperature of the room Stock Market Potentila difference between two points. Fall 20148Slide9

System definitionAn entity that manipulates one ore more signals to accomplish a function (job), thereby yielding new signals.Any

process or interaction of operations that transforms an input signal into an output signal with properties different from those of the input.Examples:- Aircraft - Transmitter- Pen - Break system- Educational system - CarFall 2014

9Slide10

System representationFall 2014

10 

System

 

Excitation signal Input: I

Response signal Output: O

SISO: Single-Input Single-OutputSlide11

Types of SystemsSystems are classified according to the number of inputs and outputs to:Fall 201411

I1System

O1MIMO: Multi-Input Multi-Output

O2

I2

I3

I1

System

O

MISO: Multi-Input

Single-Output

I2

I3

I

System

SIMO:

Single-Input

Multi-Output

O1

O2

O3Slide12

Systems Modeling Physical system

Mathematical Equations Example:

Integro

-differential Equation

 

Fall 2014

12Slide13

Continuous-time vs. Discrete-timeThe independent variable may be either continuous or discrete.Continuous-time signals:

defined at every instant of time over some time interval.- where can take any real value.- may be 0 for a given range of values of .

Values for may be real or complex  Fall 201413

 

 

 

 Slide14

Cont..

t1, t2, and t3 are points of discontinuity. CT is defined at a continuum points in time

A CT signal is not necessarily to be continuous at every point in time. Fall 2014

14

CT

t

1

t

2

t

3

tSlide15

Cont..Discrete-time signals:defined at discrete points in time and not between them.

The independent variable takes only a discrete set of values. where

Values for

may be real or complex

 

Fall 2014

15

 

 Slide16

Analog vs. DigitalThe signal amplitude may be either continuous or discreteAt each time value, analog signal amplitude takes real or complex value (a.k.a. continuous-valued)

Digital signal amplitude takes values from a discrete set “finite number of values” (a.k.a. discrete-valued)Fall 201416Analog continuous-time signal

Digital continuous-time signal

1

-1Slide17

Reminder:Finite set: has a beginning and an end and the number of elements is countable.Every finite set is countablee.g., {-1,0,1,2},

Infinite set: does not has start or end or has both start and end but is uncountable.e.g., infinite and countable: {…,2,4,6,8},{-1,1,3,5,7,…},{…,2,5,8,11,14,…}.e.g., infinite and uncountable:

If the signal’s amplitude (A) is a finite set the signal is Digital, otherwise it is Analog.

 

Fall 2014

17Slide18

Cont..Example:

CT & DT: qualify the nature of the signal along the time (horizontal) axis.Analog & Digital: qualify the nature of the signal along the amplitude (vertical) axis. Fall 201418

 

-1

1

DT & Digital

Amplitude

 

 

DT & Analog

Amplitude

or Amplitude

 Slide19

Continuous-time vs. Discrete-time systemSystems are classified according to the type of input signals and output signals.Continuous-time system: all the signals are CT signals.

Discrete-time system: all the signals are DT signals.Fall 201419

 

System

 

 

 

System

 

 Slide20

Analysis vs. SynthesisAnalysis: study the characteristics of a system to understand how it will response to various input signals.Synthesis: design a system to achieve a desired outputs.

Fall 201420Slide21

TransformationTime domain vs. Frequency domainWhy Transformation?Real life examples:Fall 2014

21