UID:
almafu_9959328459302883
Format:
1 online resource (xxi, 209 pages) :
,
illustrations
ISBN:
9780470608593
,
0470608595
,
9780470608586
,
0470608587
,
0470447532
,
9780470447536
Series Statement:
Adaptive and learning systems for signal processing, communication, and control
Content:
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, Ontario, Canada.
Note:
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.
Additional Edition:
Print version: Príncipe, J.C. (José C.). Kernel adaptive filtering. Hoboken, N.J. : John Wiley, ©2010 ISBN 9780470447536
Additional Edition:
ISBN 0470447532
Language:
English
Keywords:
Electronic books.
;
Electronic books.
;
Electronic books.
DOI:
10.1002/9780470608593
URL:
https://onlinelibrary.wiley.com/doi/book/10.1002/9780470608593
URL:
https://onlinelibrary.wiley.com/doi/book/10.1002/9780470608593
URL:
https://onlinelibrary.wiley.com/doi/book/10.1002/9780470608593
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