EE 556
Digital Signal Processing

Catalog Description:

Digital signal processing. Discrete time signals, transform techniques and digital filters. Design of FIR and IIR filters, FFTs and finite length effects on digital systems.

Credits: 3.0

Class Schedule: 2 lectures/week.

Prerequisites: EE 410 or Physics 516.

Course Objectives:

  1. Understand discrete-time signals and systems.
  2. Understand difference equation representation of discrete-time systems.
  3. Analyze discrete-time systems in the frequency domain using discrete-time Fourier transform (DFTF) and z-transform.
  4. Understand sampling and reconstruction of continuous-time signals.
  5. Understand both infinite impulse response (IIR) and finite impulse response (FIR) digital filters.
  6. Analyze and design of linear phase FIR filters.
  7. Using MATLAB to understand digital signal processing concepts and analyze and design simple DSP systems such as linear phase FIR filters.

Textbooks and References:

"Digital Signal Processing", 3rd Edition by Sunjit K. Mitra

Topics Covered: 

  1. Introduction to discrete-time signals and systems
  2. Linear constant coefficient difference equations
  3. The discrete-time Fourier transform
  4. The z-transform
  5. Sampling and reconstruction of continuous-time signals
  6. Frequency domain analysis of LTI discrete systems
  7. Architectures of discrete-time systems
  8. Discrete Fourier transform and Fast Fourier transform
  9. Introduction to digital filters

Prepared by: Dr. Ashkan Ashrafi
Date of preparation: 09/24/2008