SIGNALS AND SYSTEMS
Course Code 18EE54 CIE Marks 40
Number of Lecture Hours/Week (L:T:P) 3:0:0 SEE Marks 60
Credits 03 Exam Hours 03
Course Learning Objectives:
· To discuss arising of signals in different systems.· To classify the signals and define certain elementary signals.
· To explain basic operations on signals and properties of systems.
· To explain the use of convolution integral and convolution summation in analyzing the response
of linear time invariant systems in continuous and discrete time domains.
· To explain the properties of linear time invariant systems in terms of impulse response description.
· To explain determination of response of a given linear time invariant system and to provide a
block diagram representation to it.
· To explain Fourier transform representation of continuous time and discrete time non –periodic
signals and the properties of Fourier Transforms.
· To explain the applications of Fourier transform representation to study signals and linear time
invariant systems. To explain the use of Z-transform in the complex exponential representation of
discrete time signals and the analysis of systems.
Module-1
Introduction: Definitions of signals and a system, classification of signals, basic operations on signals.Elementary signals viewed as interconnections of operations, properties of systems.
Module-2
Time – Domain Representations for LTI Systems: Convolution, impulse response, properties, solution of differential and difference equations, block diagram representation.![]() |
Module-3
The Continuous-Time Fourier Transform: Representation of a non -periodic signals: continuous-timeFourier transform (FT), Properties of continuous-time Fourier transform, Applications. Frequency
response of LTI systems, Solutions of differential equations.
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Module-4
The Discrete-Time Fourier Transform: Representations of non-periodic signals: The discrete-timeFourier transform (DTFT), Properties of DTFT and applications. Frequency response of LTI system,
Solutions of difference equations.
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Module-5
Z- Transforms: Introduction, Z-transform, properties of ROC, properties of Z-transforms, inversion ofZ-transform methods - power series and partial expansion, Transforms analysis of LTI systems, transfer
function, stability and causality, unilateral Z-transform and its application to solve difference equations.
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Course Outcomes: At the end of the course the student will be able to:
· Explain the generation of signals, behavior of system and the basic operations that can be performedon signals and properties of systems.
· Apply convolution in both continuous and discrete domain for the analysis of systems given impulse
response of a system.
· Solve the continuous time and discrete time systems by various methods and their representation by block diagram.
· Perform Fourier analysis for continuous and discrete time, linear time invariant systems.
· Apply Z-transform and properties of Z transform for the analysis of discrete time systems.
Question paper pattern:
· The question paper will have ten questions.· Each full question is for 20 marks.
· There will be 2 full questions (with a maximum of three sub questions in one full question)
from each module.
· Each full question with sub questions will cover the contents under a module.
Students will have to answer 5 full questions, selecting one full question from each module.
Text Book
1 Signals and Systems Simon Haykin,Berry Van Veen
Wiley 2nd Edition,2002
Reference Books
1 Fundamentals of Signals andSystems
Michael J.
Roberts, Govind
K Sharma
McGraw Hill 2nd Edition 2010
2 Signals and Systems NagoorKani McGraw Hill 1st Edition 2010
3 Signals and Systems
A Primer with MATLAB
Matthew N.O. Sadiku
Warsame H. Ali
CRC Press 1st Edition, 2016
4 Signals and Systems Anand Kumar PHI 3rd Edition, 2015
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