Adaptive Filter Theory (1996) Front Cover Book Details Author Simon Haykin Genre DSP; Filters; Optimization Subject Digital Signal Processing; Digital Filter Theory; Adaptive Filter Theory Publication Date 1996 Format Hardcover (240 x 190 mm) Publisher Prentice Hall Language English Plot Book Info Represents the most comprehensive treatment available of neural networks from an engineering perspective. Examines all the important aspects of this emerging technology. DLC: Adaptive filters. The publisher, Prentice-Hall Engineering/Science/Mathematics Haykin examines both the mathematical theory behind various linear adaptive filters with finite-duration impulse response (FIR) and the elements of supervised neural networks. The Third Edition of this highly successful book has been updated and refined to keep current with the field and develop concepts in as unified and accessible a manner as possible. From the Back Cover Haykin examines both the mathematical theory behind various linear adaptive filters with finite-duration impulse response (FIR) and the elements of supervised neural networks. The Third Edition of this highly successful book has been updated and refined to keep current with the field and develop concepts in as unified and accessible a manner as possible. Personal Details Collection Status In Collection Store Barnes & Noble Location A03 Purchase Price $107.00 Purchase Date 2001 Condition Very Fine Index 59 Owner Paulo Mendes Read It No Links Amazon US Collection # 000257 Main Subject Adaptive Filters Secondary Subject DSP Product Details LoC Classification TK7872.F5 H368 1996 Dewey 621.3815/324 20 ISBN 013322760X Edition 03 Printing 3 Series Prentice Hall Information and System Sciences Country USA Cover Price $107.00 Nr of Pages 989 First Edition Yes Rare No Notes Includes bibliographical references (p. 941-977) and index.