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    Adaptive filter theory / Simon Haykin.

    By: Haykin, Simon S, 1931-Material type: TextTextPublisher: Upper Saddle River, N.J. : Prentice Hall, ©2002Edition: 4th edDescription: xvi, 920 pages : illustrations ; 24 cmISBN: 0130901261; 9780130901262Subject(s): Adaptive filtersDDC classification: 621.3815/324 LOC classification: TK7872.F5 | H368 2002
    Contents:
    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.
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    Item type Current library Call number Copy number Status Notes Date due Barcode
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    		TK7872 .F5 H368 2002 (Browse shelf (Opens below)) 1 Available STACKS 51952000190264

    Includes bibliographical references (pages 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.

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