ELEC 431 - Digital Signal Processing - Spring 2010
This course provides an overview of discrete-time signal processing from a vector space perspective. Topics will include sampling, filter design, multirate signal processing and filterbanks, Fourier and wavelet analysis, subspace methods, and a variety of topics relating to inverse problems and "least-squares signal processing'' as time permits.
Instructor:
Mark Davenport
md@rice.edu
md@rice.edu
Teaching Assistant:
Drew Waters
aew2@rice.edu
aew2@rice.edu
Graders: Eva Dyer, Manjari Narayan
Location: Duncan Hall 1075
Time: Mondays, Wedensdays, and Fridays 9-9:50am
Prerequisites: Introduction to Signals and Systems (ELEC 301), Introduction to Random Signals (ELEC 303)
Recommended Reading: This course has no required textbook. Lecture notes will be made available. However, there are a number of references that I have found helpful over the years for learning the material in this class. These should be available on reserve at Fondren.
- Moon and Stirling: Mathematical Methods and Algorithms for Signal Processing
- Oppenheim and Schafer: Discrete-Time Signal Processing
- Lyons: Understanding Digital Signal Processing
- Young: An Introduction to Hilbert Space
- Mallat: A Wavelet Tour of Signal Processing
- Nguyen and Strang: Wavelets and Filter Banks