Jan-Apr 2025
ECS204: Signals and Systems
Pre-requisites: None
Teaching Assistants:
Learning Objectives :
Learning how to analyze and characterize linear time invariant systems.
Learning mathematical tools (such as Fourier analysis, Laplace and Z transforms) to analyze signals.
Course syllabus:
Module 1: Introduction to the Course and Basic Concepts; Signals & their Transformation; Elementary Signals in the Continuous and Discrete Time Domains; Classification of Systems; Properties of Linear Time Invariant Systems; Convolution, Invertibility, Stability and Causality; Unit Step and Impulse Responses
Module 2: Systems Described by Differential & Difference Equations; Fourier Series; Introduction to Fourier Transform for Continuous Time signals; Fourier Transform of Periodic Functions; Fourier Transform Properties
Module 3: Fourier Analysis of Discrete Time Signals & Systems; Properties of DTFT; Convolution, Modulation & Other Properties of DTFT
Module 4: Introduction to Sampling; Spectrum of Sampled Signals, Aliasing; Introduction to Laplace Transform; Properties of Laplace Transform; Introduction to Z Transform; Properties of Z Transform
Textbook:
A. V. Oppenheim, A. S. Willsky, and S. H. Nawab. Signals and Systems. 2nd Edition, PHI Learning Pvt. Ltd, New Delhi
Reference Books:
K. Deergha Rao. Signals and Systems. Birkhäuser, Cham, 2018
B. P. Lathi. Principles of Linear Systems and Signals, Oxford, 2019
S. Haykin and B. Van Veen. Signals and Systems. 2nd Edition. Wiley
Teaching methodology: Classroom L1, LHC
Class time:
Wednesday 18:00-19:00
Thursday 18:00-19:00
Friday 18:00-19:00
Grading policy:
20%: Continuous Assessment ( 2 Quizzes)
30% : Mid-Sem Exam
50% : End-Sem Exam
Homeworks: Homeworks will be posted regularly on the Classroom portal