Adaptive Filters and Systems, 3 Credits
Signal processing requires the isolation and extraction of desired signals and information in the preence of noise and interference. When stationary stochastic noise and/or interference proccesses 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.
Recommended Prerequisites:
ECE 3800 Probabilistic Methods of Signal and System Analysis
ECE 5550 Digital Signal Processing
ECE 5710 State Space Control Systems
MATLAB - Signal Processing Toolbox
Topics:
Introduction to Adaptive Filters
Statistical Signal Processing/Stochastic Processes
Linear Algebra/Matrix Theory
Optimal Filtering
Gradient Based Adaptive Filters
Recursive Least-Squares Adaptive Filters
Performance Analysis - Steady State and Tracking
Applications and Implementaion
Exams:
Exam 1: 7-14 October Takehome
Exam 2: Due Friday, 20 November Takehome Matlab files on HW Site
Final Takehome Due:
16 December, 5:00 pm