| Description |
1 online resource (xxi, 209 pages) : illustrations |
| Series |
Adaptive and learning systems for signal processing, communication, and control |
|
Adaptive and learning systems for signal processing, communications, and control.
|
| 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 |
| 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, Ontario, Canada |
| Bibliography |
Includes bibliographical references and index |
| Notes |
English |
|
Print version record |
| Subject |
Adaptive filters.
|
|
Kernel functions.
|
|
COMPUTERS -- Information Theory.
|
|
TECHNOLOGY & ENGINEERING -- Signals & Signal Processing.
|
|
Adaptive filters
|
|
Kernel functions
|
| Form |
Electronic book
|
| Author |
Liu, Weifeng
|
|
Haykin, Simon S., 1931-
|
| LC no. |
2009042654 |
| ISBN |
9780470608593 |
|
0470608595 |
|
9780470608586 |
|
0470608587 |
|
0470447532 |
|
9780470447536 |
|
1118211219 |
|
9781118211212 |
|
1282549774 |
|
9781282549777 |
|
9786612549779 |
|
6612549777 |
|
