EECS 844: Adaptive Signal Processing
Class Hours: Tuesday, Thursday, 8:00-9:15 in 2112 Learned Hall
Instructor: Dr. Shannon D. Blunt
3034 Eaton Hall
357 Nichols Hall (4-7326)
e-mail: sdblunt@ku.edu
Office Hours: Tuesday, Thursday, 9:15-10:30 or by appointment
Text: Adaptive Filter Theory, 5th Ed., Simon Haykin
Digital Signal Processing, John Proakis and Dimitris Manolakis (supplemental)
Grading: Standard plus/minus grading will be used for this course.
Four take-home exams, roughly equally weighted. Exams will have multiple parts and you will be required to sign a statement that you have completed each by yourself. Two weeks will be provided to complete each exam, which will be turned in by the due date or no credit will be given.
Separately, all associated Matlab programs (in executable *.m format) will be emailed to the instructor by the same due date.
Matlab: Most problems on the exams will require the use of Matlab.
For those not familiar with Matlab, a short introduction can be found at www.ittc.ku.edu/~sdblunt/844/MATLAB.html
Course Website:
www.ittc.ku.edu/~sdblunt/844/EECS844.html
General Course Topics:
Weiner Filters
Interference Cancellation
Linear Prediction
Spectral Estimation
Recursive Adaptive Filters
Array/Multichannel Signal Processing
The course will also cover several important mathematical structures, operations, and decompositions that are useful for signal processing.
Additional Notes: