ECE6550
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Adaptive Filters
Electrical and Computer Engineering
EN - J & M Price College of Eng.
Description
Basics of minimum mean-square and least-squares estimation. Lattice orthogonalization. Stochastic gradient adaptive filters: derivations, performance analyses and variations. Recursive least-squares adaptive filters: fast algorithms, least-squares lattice filters, numerical issues, and performance comparisons with stochastic gradient adaptive filters. Adaptive IIR filters. Fundamentals of adaptive nonlinear filtering. Selected applications.
Minimum Credits
3
Maximum Credits
3
Repeat for Credit
No
Required Requisite(s):
004614
Semesters Typically Offered
Fall