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.

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Podrobná bibliografie
Hlavní autoři: Príncipe, J. C, Liu, Weifeng, Haykin, Simon S
Médium: E-kniha Kniha
Jazyk:angličtina
Vydáno: Hoboken, N.J Wiley 2010
WILEY
John Wiley & Sons, Incorporated
Wiley-Blackwell
John Wiley & Sons
Vydání:1
Edice:Adaptive and learning systems for signal processing, communication, and control
Témata:
Adaptive filters
Kernel functions
Science
Waves & Wave Mechanics
ISBN:9780470447536, 0470447532, 0470608587, 9780470608586, 9780470608593, 0470608595
On-line přístup:Získat plný text
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Popis
Shrnutí: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.
Bibliografie:Includes bibliographical references and index
Available also in a print ed.
Mode of access: Internet via World Wide Web.
Title from title screen.
ISBN:9780470447536
0470447532
0470608587
9780470608586
9780470608593
0470608595
DOI:10.1002/9780470608593