Course Information

Course Description:

Introduction to digital signal processing techniques. Laplace transform, Fourier transform, Z-transform. A/D and D/A conversion. All-pass, minimum phase and linear phase filters. IIR and FIR filter design. DFT, FFT and fast convolution. Wiener filters. Adaptive filters.

Textbook:

Discrete-Time Signal Processing, Oppenheim, et al, Prentice Hall, 2nd ed.

• Digital Signal Processing: A Computer-Based Approach, Mitra, McGraw-Hill, 3rd ed. (Errata)
• Digital Signal Processing: Principles, Algorithms and Applications, Proakis, et al , Prentice Hall, 4th ed.
• Probability, Random Variables and Stochastic Processes, Papoulis, et al, McGraw-Hill, 4th ed.

1. Introduction to Digital Filtering, Impulse Response
2. DTFT, Frequency Response, Laplace Transform, Fourier Transform
3. Digital to Analog Conversion, Analog to Digital Conversion
4. Allpass, Minumum Phase and Linear Phase Filters
5. IIR filters
6. Matched Z-Transform, Bilinear Transformation
7. FIR Filter Design
8. DFT, FFT and Applications
9. Rate Conversion
10. Mixed Discrete-Continuous Systems
11. Stochastic Signals
12. Wiener Filtering
13. Adaptive Filtering

• Homework problems: 30%
• Midterm: 30%
• Final: 40%

• Homeworks will be given out on Thursdays and due the following week by 5 pm in the file cabinet outside Packard 267 on the 2nd floor of Packard (close to Denise Murphy's office).
• Cooperation (but not copying) is allowed. Specifically any write-up or code you turn in must be done independently.
• In general no late homeworks will be accepted. Under extenuating circumstances, extensions must be approved by the instructor or TA, and arranged prior to the deadline.

• July 24th from 12:15 to 2:15 pm in Class. Open Book and Open Notes.

• Scheduled for August 14th, Time and Location TBA.

Last updated Thu Aug 14 18:56:55 2008