EE310 Signals and SystemsSpring 2019
Department of Electrical Engineering

Assignment  Due Date  Solutions 
Assignment 01  Feb. 08  Solutions 
Assignment 02  Feb. 25  Solutions 
Assignment 03  Mar. 15  Solutions 
Assignment 04  Apr. 15  Solutions 
Assignment 05  Apr. 29  Solutions 
Assignment 06  May. 03  Solutions 
Number  Quiz  Solutions 
Quiz 01  Solutions  
Quiz 02  Solutions  
Quiz 03  Solutions  
Quiz 04  Solutions  
Quiz 05  Solutions  
Quiz 06  Solutions  
Quiz 07  Solutions  
Quiz 08  Solutions  
Quiz 09  Solutions  
Lecture 01
Course Introduction
Signals and Systems overview
CT Signals under transformation of indepenent variables
Lecture 02
Transformations (contd.), DT, example(s)
Classification of signals (Periodic, Aperiodic; Even, Odd)
Complex numbers overview
Lecture 03
Energy, Power Signals
CT complex exponentials
Lecture 04
CT Complex exponentials  Revisit Periodicty
Matlab Demo (download)
DT complex exponentials
Matlab Demo (download)
Lecture 05
Unit step and impulse signals
CT and DT Systems Overview
Proporties of Systems (Linearity, Time Invariance, Memory, Stability, Invertibility, Causality)
Lecture 06
Proporties of Systems (Linearity, Time Invariance, Stability, Causality)
Examples
Quiz 01
Lecture 07
Proporties of Systems (Memory, Invertibility)
Interconnection of Systems
Introduction of LTI Systems (Impulse Response)
DT Convolution
Lecture 08
DT Convolution Examples
CT Convolution
Quiz 02
Lecture 09
CT Convolution Examples
Demo
Lecture 10
Propoerties of LTI Systems
Lecture 11 (Notes)
Step Response
Chapter 2  Review problems (download)
Complex exponentials: eigenfunctions of LTI Systems
Lecture 12 (Notes)
Introduction to CT Fourier Series
Analysis Equation
Lecture 13 (Notes)
CT Fourier Series  Examples
Properties of Fourier Series
Lecture 14
Properties of Fourier Series
Examples
Convergence of Fourier series
Lecture 15 (Notes)
DT Fourier Series  Formulation
Concept of Periodicity in harmonic domain
DT Fourier Series  Examples
Lecture 16
Properties of DT Fourier Series
Examples
Notion of Filtering
Lecture 17
Notion of Filtering (contd)
Review of the course
CT Fourier Transform (CTFT)  Introduction
Lecture 18
MidExam
Lecture 19 (Notes on CTFT)
CTFT Formulation
Examples
Lecture 20
Properties CTFT: linearity, time and frequency shift, scaling, derivative, convolution
Implications of convolution property: System characterization
Lecture 21
Properties CTFT: intgeration, multiplication, duality
Examples
Lecture 22
CTFT and LTI Systems
LCC differential equations
Lecture 23 (Notes on DTFT)
DT Fourier Transform (DTFT)
DTFT Examples
Lecture 24
DTFT Properties and Examples
Lecture 25
DTFT and LTI Systems
LCC Differential Equation
Ideal Sampling (Time permitting, included in Assignment 05)
Lecture 2627
Laplace Transform
Lecture 28
zTransform (Notes)
Lecture 29
Review of the Past Exams