EE3302 Signals and Systems

Topics covered in textbook:

A.V. Oppenheim, A.S. Willsky, S.H. Nawab,
Signals and Systems 
Second Edition
Prentice Hall


========================================================================
Midterm Exam 1
========================================================================

Chapter 1: Signals and Systems

1.0 Introduction
1.1 Continuous-Time and Discrete-Time Signals
1.2 Transformation of the Independent Variable
1.3 Exponential and Sinusoidal Signals
1.4 The Unit Impulse and Unit Step Functions
1.5 Continuous-Time and Discrete-Time Systems
1.6 Basic System Properties


Chapter 2: Linear Time-Invariant Systems

2.0 Introduction
2.1 Discrete-Time LTI Systems: The Convolution Sum
2.2 Continuous-Time LTI Systems: The Convolution Integral
2.3 Properties of Linear Time-Invariant Systems
2.4 Causal LTI Systems Described by Differential and Difference Equations


========================================================================
Midterm Exam 2
========================================================================

Chapter 3: Fourier Series Representation of Periodic Signals

3.0 Introduction
3.1 A Historical Perspective
3.2 The Response of LTI Systems to Complex Exponentials
3.3 Fourier Series Representation of Continuous-Time Periodic Signals
3.4 Convergence of the Fourier Series
3.5 Properties of Continuous-Time Fourier Series
3.10 Examples of Continuous-Time Filters Described by Differential Equations


Chapter 4: The Continuous-Time Fourier Transform

4.0 Introduction
4.1 Representation of Aperiodic Signals: The Continuous-Time Fourier Transform
4.2 The Fourier Transform for Periodic Signals
4.3 Properties of the Continuous-Time Fourier Transform
4.4 The Convolution Property
4.5 The Multiplication Property
4.6 Table of Fourier Properties and of Basic Fourier Transform Pairs


========================================================================
Final Exam
========================================================================

Chapter 4: The Continuous-Time Fourier Transform

4.7 Systems Characterized by Linear Constant-Coefficient Differential
    Equations


Chapter 7: Sampling

7.0 Introduction
7.1 Representation of a Continuous-Time Signal by Its Samples:
    The Sampling Theorem


Chapter 10: The z-transform

10.0 Introduction
10.1 The z-Transform
10.2 The Region of Convergence for the z-Transform
10.3 The Inverse z-Transform
10.5 Properties of the z-Transform
10.6 Some Common z-Transform Pairs