ECE 535

DIGITAL SIGNAL PROCESSING

 

Fall 1999 Dr. Anna Baraniecki

ST II room 213

(703) 9931611

abaranie@gmu.edu

Text: "Discrete Time Signal Processing", A. Oppenheim, R. Schafer, Prentice Hall ,1999.

 

COURSE OUTLINE:

 

  1. Discrete Time Signals and Systems, discrete convolution

  2. Sampling, Interpolation and Decimation

  3. The z-transform

  4. Transform Analysis

  5. Structures for discrete-time systems: IIR, FIR and lattice filters, transposed forms

  6. IIR filter design techniques

  7. FIR filter design techniques

  8. Finite wordlength effects

  9. The Discrete Fourier Transform

  10. FFT algorithms

  11. Applications of Transform Techniques:

* high speed convolution/correlation, sectioning (overlap-add, overlap-save)

* power spectrum estimation

12. Homomorphic Signal Processing, cepstral analysis

  1. Signal Processing Architectures, Programmable DSP processors

 

 

 

Grading: Midterm Test: 35%

Computer Assignments: (MATLAB) 25%

Final Exam: 40%