Skip to content
EC-402 · Signals & Systems/Official Syllabus

Signals & Systems (EC-402) - Official Syllabus

1
Unit 1

Introduction of Signals and Systems

  • Definition of signal
  • Classification of Signal and representation: Continuous time and discrete time
  • even/odd
  • periodic/aperiodic
  • random/deterministic
  • energy/power
  • one/multidimensional
  • some standard signals
  • Basic Operations on Signals for CT/DT signal
  • transformation of independent & dependent variables
  • Definition of system and their classification: CT/DT
  • linear/non-linear
  • variant/non-variant
  • causal and non-causal system
  • state/dynamic system
  • interconnection of systems
  • System properties: linearity: additivity and homogeneity
  • shift-invariance
  • causality
  • stability
  • realizability
2
Unit 2

Linear Time- Invariant Systems

  • Introduction
  • Impulse Response Representation for LTI Systems
  • Convolution
  • Properties of the Impulse Response Representation for LTI Systems
  • Difference Equation for LTI Systems
  • Block Diagram Representations(direct form-I, direct form-II, Transpose, cascade and parallel)
  • Impulse response of DT-LTI system and its properties
3
Unit 3

z-Transform

  • Introduction
  • ROC of finite duration sequence
  • ROC of infinite duration sequence
  • Relation between Discrete time Fourier Transform and z-transform
  • properties of the ROC
  • Properties of z-transform
  • Inverse z-Transform
  • Analysis of discrete time LTI system using zTransform
  • Unilateral z-Transform
4
Unit 4

Fourier analysis of discrete time signals

  • Introduction
  • Properties and application of discrete time Fourier series
  • Representation of Aperiodic signals
  • Fourier transform and its properties
  • Convergence of discrete time Fourier transform
  • Fourier Transform for periodic signals
  • Applications of DTFT
5
Unit 5

State-space analysis and multi-input, multi-output representation

  • State-space analysis and multi-input, multi-output representation
  • The state-transition matrix and its role
  • The Sampling Theorem and its implications- Spectra of sampled signals
  • Reconstruction

Laboratory Experiments

  • Introduction to MATLAB Tool.
  • To implement delta function, unit step function, ramp function and parabolic function for continuous-time.
  • To implement delta function, unit step function, ramp function and parabolic function for discrete-time.
  • To implement rectangular function, triangular function, sinc function and signum function for continuous-time.
  • To implement rectangular function, triangular function, sinc function and signum function for discrete-time.
  • To explore the communication of even and odd symmetries in a signal with algebraic operations.
  • To explore the effect of transformation of signal parameters (amplitude-scaling, time-scaling & shifting).
  • To explore the time variance and time invariance property of a given system.
  • To explore causality and non-causality property of a system.
  • To demonstrate the convolution of two continuous-time signals.
  • To demonstrate the correlation of two continuous-time signals.
  • To demonstrate the convolution of two discrete-time signals.
  • To demonstrate the correlation of two discrete-time signals.
  • To determine Magnitude and Phase response of Fourier Transform of given signals.

Reference Books

  • Signals and Systems — Simon Haykin — John Wiley
  • Analog and Digital Communications — Simon Haykin — John Willey
  • Signals and Systems — Bruce Carlson — TMH
  • Signals & Systems — Oppenheim, Wilsky — PHI
  • Principles of communication signals — Taub, Schilling — Mcgraw-Hill — 2nd ed., 1986
Go to where you left off?

Quick Add to Notes

Save questions, your own notes and screenshots into notes filed by unit. It takes a free account.

Create free account

Have an account? Log in