Four Credits - Offered every Fall semester

Text: Oppenheim & Schafer, Discrete-Time Signal Processing, Prentice-Hall, 1989

Prerequisite: EEE 303, MAT 342
 

Objective

The purpose of this course is to introduce senior students to the principles and applications of Digital Signal Processing.

Outline

Review of linear signals and systems , Fourier representations, sampling theorem and multirate systems, z-transform, frequency domain representations of LTI Systems, linear phase filters, filter design techniques, DFT and the FFT,  linear and circular convolution, fast convolution using the FFT,  Fourier Analysis of Signals using the DFT, Random signal processing,  autocorrelation and cross-correlation, white and colored noise, Digital Filtering of random signals,
applications to speech and multimedia systems

Computer Laboratory Exercises Based on JDSP

         1. Signal Generation and Convolution
          2. Z-transform and System Functions
          3. Pole/Zero Plots and Frequency Response
          4. Linear Phase Filtering
          5. The DFT, FFT

Course Coordinator: Andreas Spanias

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