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Adaptive filter theory

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Prentice Hall, 2002 - Computers - 920 pages
Adaptive Filter Theory,4e, is ideal for courses in Adaptive Filters. Haykin examines both the mathematical theory behind various linear adaptive filters and the elements of supervised multilayer perceptrons. In its fourth edition, this highly successful book has been updated and refined to stay current with the field and develop concepts in as unified and accessible a manner as possible.

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Review: Adaptive Filter Theory

User Review  - Joecolelife - Goodreads

I have always wondered why many people have negative opinions about books by Simon Haykin, whether it is 'Communication Systems' or 'Adaptive Filter Theory'. Particularly, this book 'Adaptive Filter ... Read full review

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Contents

Background and Preview
1
Approaches to the Development of Linear Adaptive Filters
14
Four Classes of Applications
22
Copyright

32 other sections not shown

Other editions - View all

Adaptive filter theory
Adaptive filter theory
Simon S. Haykin
Snippet view - 1991
Adaptive filter theory
Adaptive filter theory
Simon S. Haykin
Snippet view - 1986
Adaptive Filter Theory
Adaptive Filter Theory
Simon Hakin
No preview available - 2013
View all »

Common terms and phrases

adaptive filter adaptive filtering algorithms applied array autocorrelation function backward prediction errors beamformer blind equalization channel Chapter complex computation condition convergence correlation matrix corresponding cost function cross-correlation data matrix denote derive described desired response d(n eigenvalue eigenvalue spread eigenvectors elements equal equation error signal estimation error factor FIGURE filter of order formulate forward prediction Gaussian Hermitian impulse response input data inverse Kalman filter lattice predictor linear prediction LMS algorithm LMS filter mean-square error method minimum mean-square misadjustment multilayer perceptron MVDR nonlinear normalized LMS number of iterations operation optimum orthogonal problem process u(n QR-RLS algorithm quantization recursive reflection coefficients result RLS filter samples Section sequence side of Eq solution square stationary process statistical steepest-descent algorithm step-size parameter stochastic process subspace systolic array tap inputs tap-input vector tap-weight vector theory transfer function transformation transversal filter update variance weight vector white noise Wiener filter zero mean

Bibliographic information

QR code for Adaptive filter theory
TitleAdaptive filter theory
Prentice-Hall information and system sciences series
AuthorSimon S. Haykin
Edition4, illustrated
PublisherPrentice Hall, 2002
Original fromthe University of California
Digitized9 Sep 2009
ISBN0130901261, 9780130901262
Length920 pages
Subjects ›  ›  › 

Adaptive filters
Computers / Computer Science
Technology & Engineering / Electrical
Technology & Engineering / Electronics / Circuits / General
Technology & Engineering / Telecommunications
  
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