ETE 2305 Syllabus

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7/21/2019 ETE 2305 Syllabus http://slidepdf.com/reader/full/ete-2305-syllabus 1/2 ETE – 2325 SIGNALS AND LINEAR SYSTEMS Credit Hour: 3/ Contact Hour: 3 per week Objective: The objective of this course is to introduce the fundamental ideas of the signals and linear systems Course Contents: Section –A (Mid-ter E!": 3# M"r$s% ! "ntroduction with signals: #efinition of signal$ mathematical % graphical representation of signal$ classification of signals: continuous % discrete time$ even % odd$ periodic % non&periodic$ deterministic% random$ causal % non& causal$ power % energy ' (asic Operation on signal: )mplitude scaling$ addition$ multiplication$ differentiation$ integration$ timescaling$ reflection$ time shifting$ combination of shifting and scaling 3 *lementary signals: *+ponential signal$ sinusoidal signal$ comple+ e+ponential signal$ step function$"mpulse function$ ramp function$ representation of arbitrary signal by elementary signals "ntroductionwith systems: #efinition of system$ system viewed as interconnection of operations$ properties of thesystem: stability$ memory$ causality$ invertiblity$ time invariance$ linearity , Convolution theorem: Convolution sum$ convolution integral Section- & ('in" E!": 5# M"r$s% Grou)- A (2#-M"r$s% ! "nterconnection of -T" systems: parallel connection % cascade connection$ relation between -T"systems$ -T" systems properties and impulse response$ invertible systems$ step response of the system ' #ifferential and #ifference e.uation representations of -T" systems: Homogeneous solution$ particularsolution$ complete solution$ characteristics of systems described by differential and difference e.uations:natural and forced response of the system$ block diagram representation of the systems 3 re.uency response of -T" systems$ ourier series and ourier transformation of continuous timesignals Grou)-& (3# M"r$s% , #iscrete time ourier series and #TT of discrete time signals 0 "nverse ourier series and inverse ourier transformation of continuous and discrete time signals 1 2roperties of ourier representations: -inearity and symmetry properties$ convolution properties$differentiation and integral properties in time and fre.uency domain$ time and fre.uency shiftingproperties$ inverse ourier transformation using partial fraction e+pansion$ multiplication property$scaling property$ duality -aplace transformation: -aplace transforms representation$ convergence$ the s&plane$ the unilateral-aplace transformation$ properties of unilateral -aplace transformation$ initial and final value theorem$inversion of the unilateral -aplace transformation$ solving differential e.uation with initial condition$properties of the bilateral -aplace transformation Re*erence &oo$s: ! 4akesh4 % 5C 6ahoo$ 7 Circuit and 6ignals8 2rentice Hall$ 9alaysia ', ' 5arasingh #eo$ ;<raph Theory$ with )pplications to *ngineering and Computer 6cience;$ 2rentice Hall$ ' 3 " = 5agrath et al$ ;6"<5)-6 )5# 6>6T*96; 9c&<raw Hill$ 6ingapore$ '!$ "6(5 && !'' !&,

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ETE 2305 Syllabus

Transcript of ETE 2305 Syllabus

Page 1: ETE 2305 Syllabus

7/21/2019 ETE 2305 Syllabus

http://slidepdf.com/reader/full/ete-2305-syllabus 1/2

ETE – 2325 SIGNALS AND LINEAR SYSTEMS

Credit Hour: 3/ Contact Hour: 3 per week 

Objective: The objective of this course is to introduce the fundamental ideas of the signals and linear systems

Course Contents:

Section –A

(Mid-ter E!": 3# M"r$s%

! "ntroduction with signals: #efinition of signal$ mathematical % graphical representation of signal$ classification of 

signals: continuous % discrete time$ even % odd$ periodic % non&periodic$ deterministic% random$ causal % non&

causal$ power % energy

' (asic Operation on signal: )mplitude scaling$ addition$ multiplication$ differentiation$ integration$ timescaling$

reflection$ time shifting$ combination of shifting and scaling

3 *lementary signals: *+ponential signal$ sinusoidal signal$ comple+ e+ponential signal$ step function$"mpulse

function$ ramp function$ representation of arbitrary signal by elementary signals "ntroductionwith systems:

#efinition of system$ system viewed as interconnection of operations$ properties of thesystem: stability$ memory$

causality$ invertiblity$ time invariance$ linearity

, Convolution theorem: Convolution sum$ convolution integral

Section- & ('in" E!": 5# M"r$s%

Grou)- A (2#-M"r$s%

! "nterconnection of -T" systems: parallel connection % cascade connection$ relation between -T"systems$ -T"

systems properties and impulse response$ invertible systems$ step response of the system

' #ifferential and #ifference e.uation representations of -T" systems: Homogeneous solution$ particularsolution$

complete solution$ characteristics of systems described by differential and difference e.uations:natural and forced

response of the system$ block diagram representation of the systems

3 re.uency response of -T" systems$ ourier series and ourier transformation of continuous timesignals

Grou)-& (3# M"r$s%

, #iscrete time ourier series and #TT of discrete time signals

0 "nverse ourier series and inverse ourier transformation of continuous and discrete time signals1 2roperties of ourier representations: -inearity and symmetry properties$ convolution properties$differentiation

and integral properties in time and fre.uency domain$ time and fre.uency shiftingproperties$ inverse ourier 

transformation using partial fraction e+pansion$ multiplication property$scaling property$ duality

-aplace transformation: -aplace transforms representation$ convergence$ the s&plane$ the unilateral-aplace

transformation$ properties of unilateral -aplace transformation$ initial and final value theorem$inversion of the

unilateral -aplace transformation$ solving differential e.uation with initial condition$properties of the bilateral

-aplace transformation

Re*erence &oo$s:

! 4akesh4 % 5C 6ahoo$ 7 Circuit and 6ignals8 2rentice Hall$ 9alaysia ',

' 5arasingh #eo$ ;<raph Theory$ with )pplications to *ngineering and Computer 6cience;$

2rentice Hall$ '

3 " = 5agrath et al$ ;6"<5)-6 )5# 6>6T*96; 9c&<raw Hill$ 6ingapore$ '!$ "6(5 &&

!'' !&,

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, ?illiam H Hayt$ =r and =ack * @emmerly$ ;*ngineering Circuit )nalysis; 9c <raw&Hill

"nternational *dition$ '!

0 9*Aan Aalkenberg$ ;5etwork )nalysis;$ 2rentice&Hall

1 9cClellan$ =$>oder$ 9 % 6chafer$ 4 B'3 Signal Processing First. 2earson Higher *ducation

"6(5 &!3&!''10&

6ignals and 6ystems &6imon Haykin

D 6ignals and 6ystems &)lan A Oppenheim

+ #avid @ Cheng$ 7-inear 6ystem )nalysis;

ETE – 232, Sin" "nd S.stes Session"

Credit Hour: 0/ Contact Hour: ! per week 

Course Contents:

-aboratory works based on ETE – 2325