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Haykin, Simon S., 1931-

Adaptive filter theory / Simon Haykin. - 4th ed. - Upper Saddle River, N.J. : Prentice Hall, c2002. - xvi, 920 p. : ill. ; 24 cm.

Includes bibliographical references (p. 870-911) and index.

Stochastic processes and models --
Wiener filters --
Linear prediction --
Method of steepest descent --
Least-mean-square adaptive filters --
Normalized least-mean-square adaptive filters --
Frequency-domain and subband adaptive filters --
Method of least squares --
Recursive least-squares adaptive filters --
Kalman filters --
Square-root adaptive filters --
Order-recursive adaptive filters --
Finite-precision effects --
Tracking of time-varying systems --
Adaptive filters using infinite-duration impulse response structures --
Blind deconvolution --
Back-propagation learning. TOC

Summary:
For courses in Adaptive Filters. This book examines both the mathematical theory behind various linear adaptive filters and the elements of supervised multilayer perceptrons.



ISBN: 0130901261 9780130484345

LCCN: 2001021604

Subjects--Topical Terms:
Adaptive filters.

LC Class. No.: TK7872.F5 / H368 2002

Dewey Class. No.: 621.3815324 / HAA 2002