|
WMU Fall 2009 Courses: Bradley J. Bazuin, Ph.D. Fall 2009:ECE4600/5950 , ECE 6950 |
||
|
|
Communication Systems, 3 Credits MWF, 10:30-11:20 AM Required Textbook: Required Computer Software: Prerequisites: ECE 3800 and MATLAB
|
|
|
|
Adaptive Filters and Signal Processing, 3 Credits Signal processing requires the isolation and extraction of desired signals and information in the presence of noise and interference. When stationary stochastic noise and/or interference processes exist, "optimal" fixed coefficient filters can be defined. When the noise or interference is time varying, an adaptive filter based on the proprties of the noise, interference, and signal can be employed to improve system performance. This course will discuss stochastic processes and models, linear estimation (including Wiener Filter Theory), and a range of adaptive filter algorithms and approaches. Multiple MATLAB design problems will be used to demonstrate the concepts and the performance of various algorithms. Wednesday, 6:30-9:20 PM Required Textbook: A.H. Sayed, Fundamentals of Adaptive Filtering, John Wiley & Sons, 2003. Supplemental Text (not required): S. Haykin, Adaptive Filter Theory, 4th ed., Prentice-Hall, 2002. Recommended Prerequisites:
|
|
| 10-Sep-2009 |
Mail comments to: brad.bazuin@wmich.edu |