Adaptive Filter Theory
S.S. Haykin(Author)
Pearson Education (US) (Publisher)
2nd Edition
Published on 28. February 1991
Book
Paperback/Softback
704 pages
978-0-13-005513-2 (ISBN)
Article exhausted; check for reprint
Description
This book develops the mathematical theory of linear adaptive filters with finite impulse response. Examples and computer experiment applications illustrate the theory and principles. The second edition has also been restructured with an introduction followed by four parts: discrete-time wide-sense station stochastic process; linear optimum filtering; linear FIR adaptive filtering; limitations, extensions and discussions. New features includes new chapters on QR decomposition-based lattice filters, on blind deconvolution, new appendix material on complex variables and regulation.
More details
Edition
2nd Revised edition
Language
English
Place of publication
Upper Saddle River
United States
Target group
College/higher education
Professional and scholarly
Edition type
Revised edition
Dimensions
Height: 234 mm
Width: 178 mm
Weight
1224 gr
ISBN-13
978-0-13-005513-2 (9780130055132)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Other editions
New editions
S.S. Haykin
Adaptive Filter Theory
Book
12/1995
3rd Edition
Pearson Education (US)
€56.94
Article exhausted; check for reprint
Content
Discrete-time side-sense stationary stochastic processes - stationary processes and models; spectrum analysis; eigenanalysis. Linear optimum filtering - wiener filters; linear prediction; kalman filters. Linear fir adaptive filtering - method of steepest descent; stochastic gradient-based algorithms; linear least-squares estimation; method of least squares; singular value decomposition; supter-resolution algorithms using eigenvector-based projects; standard recursive least squares estimation; recursive least-squares systolic arrays; background theory for fast recursive algorithms; fast transversal filters; recursive least-squares lattice filters; QR decomposition-based least squares lattice filters. Limitations, extensions and discussions - finite-precision and other practical effects; blind convolution; discussion.