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Adaptive Filter Theory, 4e 2720

Adaptive Filter Theory, 4e

This book covers both the mathematical theory behind various linear adaptive filters and the elements of supervised multilayer perceptrons.  Topics covered include stochastic processes, Wiener filters, linear prediction, least-mean-square adaptive filters, finite-precision effects, and blind deconvolution.  New features ot this fourth-edition text include in-depth treatment of adaptive filters, major revision of the supplemental MATLAB M-files, expanded treatment of normalized LMS filters, and introduction of sub-band adaptive filters.

Companion software available Companion Software: A set of MATLAB M-files is available. Retrieve companion software

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About This Book

Simon Haykin, McMaster University

Prentice Hall, 2002

ISBN: 0-13-090126-1
Language: English