Kernel adaptive filtering : a comprehensive introduction /
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...
| Main Author: | |
|---|---|
| Other Authors: | , |
| Format: | eBook |
| Language: | English |
| Language Notes: | English. |
| Published: |
Hoboken, N.J. :
John Wiley,
©2010.
|
| Series: | Adaptive and learning systems for signal processing, communications, and control.
|
| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
| 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. |
|---|---|
| Physical Description: | 1 online resource (xxi, 209 pages) : illustrations |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9780470608593 0470608595 9780470608586 0470608587 0470447532 9780470447536 1118211219 9781118211212 1282549774 9781282549777 9786612549779 6612549777 |