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Adaptive Filtering Primer with MATLAB

ISBN-10: 0849370434

ISBN-13: 9780849370434

Edition: 2006

Authors: Alexander D. Poularikas, Zayed M. Ramadan

List price: $45.95
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Description:

Adaptive Filtering Primer with MATLAB clearly explains the fundamentals of adaptive filtering supported by practical examples and computer experiments and functions. The authors introduce discrete-time signal processing, random variables and stochastic processes, the Wiener filter, properties of the error surface, the steepest descent method, and the least mean square (LMS) algorithm. They also supply many MATLAB functions and m-files along with computer experiments to illustrate how to apply the concepts to real-world problems. The book includes problems along with hints, suggestions, and solutions for solving them. An appendix on matrix computations rounds out the self-contained coverage.
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Book details

List price: $45.95
Copyright year: 2006
Publisher: CRC Press LLC
Publication date: 2/14/2006
Binding: Paperback
Pages: 240
Size: 5.75" wide x 9.00" long x 0.50" tall
Weight: 0.748
Language: English

Introduction
Discrete-time signal processing
Random variables, sequences, and stochastic processes
Wiener filters
Eigenvalues of R[subscript x] - properties of the error surface
Newton and steepest-descent method
The least mean-square (LMS) algorithm
Variations of LMS algorithms
Least squares and recursive least-squares signal processing