Adaptive Filter Theory by Ss Haykin

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Adaptive Filter Theory by Ss Haykin

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Résumé

Examines both the mathematical theory behind various linear adaptive filters with finite-duration impulse response (FIR), and the elements of supervised neural networks. For use on undergraduate courses in adaptive signal processing, this edition has been updated and refined.

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Adaptive Filter Theory by Ss Haykin

Haykin examines both the mathematical theory behind various linear adaptive filters with finite-duration impulse response (FIR) and the elements of supervised neural networks. This edition has been updated and refined to keep current with the field and develop concepts in as unified and accessible a manner as possible. It: introduces a completely new chapter on Frequency-Domain Adaptive Filters; adds a chapter on Tracking Time-Varying Systems; adds two chapters on Neural Networks; enhances material on RLS algorithms; strengthens linkages to Kalman filter theory to gain a more unified treatment of the standard, square-root and order-recursive forms; and includes new computer experiments using MATLAB software that illustrate the underlying theory and applications of the LMS and RLS algorithms.

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SKU Non disponible
ISBN 13 9780133227604
ISBN 10 013322760X
Titre Adaptive Filter Theory
Auteur Ss Haykin
État Non disponible
Éditeur Pearson Education (US)
Année de publication 1995-12-27
Nombre de pages 752
Note de couverture La photo du livre est présentée à titre d'illustration uniquement. La reliure, la couverture ou l'édition réelle peuvent varier.
Note Non disponible