ECE245
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ECE 245 - Adaptive Algorithms for Data Analysis and Modeling
Electrical and Computer Engineering
College of Engineering
Full Course Title
Adaptive Algorithms for Data Analysis and Modeling
Instructor Name(s)
GIBSON
Course Description
Theory and analysis of adaptive filters. Optimal filtering, linear prediction, method of least squares. Steepest-descent and newton search methods, gradient estimation, LMS adaptive algorithm, recursive least squares. Gradient and least squares lattice algorithms for joint-process estimation. Convergence analysis, stability conditions, time constants, misadjustment.
Unit Value
4
Maximum number of times course can be repeated for additional credit
99
Maximum Units
99
Prerequisites
ECE 139 or equivalent.