EEL 6502
Adaptive Signal Processing
Fall 2006
Instructor: Dr. Jose Principe, principe@cnel.ufl.edu
Office Hours: Tuesday 4:00-6:00 PM, Wednesday 5:00-6:00 PM (Room NEB 451)
| Syllabus | ||
| • Syllabus | ||
| Class notes | ||
| 1. Random processes | ||
| 2. Wiener filter | ||
| 3. Search for Optimum | ||
| 4. Performance Surface | ||
| 5. LMS Algorithm | ||
| 6. NLMS Algorithm | ||
| 7. Tracking Performance of Adaptive Filters | ||
| 8. Robustness of LMS | ||
| 9. FFT LMS | ||
| 10. RLS Algorithm | ||
| 11. Gamma filter | ||
| Homeworks | ||
| • Homework 1 | Solutions | |
| • Homework 2 | Solutions | |
| • Homework 3 Datasets: Mackey-Glass, Speech | Solutions | |
| • Homework 4 | Solutions | |
| • Homework 5 | Solutions | |
| Projects | ||
| • Project 1 Datasets: project1.mat | ||
| • Project 2 Datasets: project2.mat | ||
| Miscellaneous | ||
| • Paper on the Gamma filter | ||
| • Paper on Nonlinear Information Processing | ||
| • Correction to Gamma Paper | ||
