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Kernel adaptive filtering : a comprehensive introduction / Jose C. Principe, Weifeng Liu, Simon Haykin.

Ebook Central Academic Complete Available online

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Format:
Book
Author/Creator:
Príncipe, J. C. (José C.)
Contributor:
Liu, Weifeng.
Haykin, Simon S., 1931-
Series:
Adaptive and Learning Systems for Signal Processing, Communications and Control Series
Adaptive and Learning Systems for Signal Processing, Communications and Control Series ; v.57
Language:
English
Subjects (All):
Adaptive filters.
Kernel functions.
Physical Description:
1 online resource (236 p.)
Edition:
1st ed.
Place of Publication:
Hoboken, N.J. : Wiley, c2010.
Language Note:
English
Summary:
Online learning from a signal processing perspective There is increased interest in kernel learning algorithms in neural networks and a growing need for nonlinear adaptive algorithms in advanced signal processing, communications, and controls. Kernel Adaptive Filtering is the first book to present a comprehensive, unifying introduction to online learning algorithms in reproducing kernel Hilbert spaces. Based on research being conducted in the Computational Neuro-Engineering Laboratory at the University of Florida and in the Cognitive Systems Laboratory at McMaster University,
Contents:
KERNEL ADAPTIVE FILTERING; CONTENTS; PREFACE; ACKNOWLEDGMENTS; NOTATION; ABBREVIATIONS AND SYMBOLS; 1 BACKGROUND AND PREVIEW; 2 KERNEL LEAST-MEAN-SQUARE ALGORITHM; 3 KERNEL AFFINE PROJECTION ALGORITHMS; 4 KERNEL RECURSIVE LEAST-SQUARES ALGORITHM; 5 EXTENDED KERNEL RECURSIVE LEAST-SQUARES ALGORITHM; 6 DESIGNING SPARSE KERNEL ADAPTIVE FILTERS; EPILOGUE; APPENDIX; A MATHEMATICAL BACKGROUND; B APPROXIMATE LINEAR DEPENDENCY AND SYSTEM STABILITY; REFERENCES; INDEX
Notes:
Description based upon print version of record.
Includes bibliographical references and index.
Description based on metadata supplied by the publisher and other sources.
ISBN:
9786612549779
9781118211212
1118211219
9781282549777
1282549774
9780470608593
0470608595
9780470608586
0470608587
OCLC:
587390074

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