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Kernel adaptive filtering : a comprehensive introduction

Author: J C Príncipe; Weifeng Liu; Simon S Haykin
Publisher: Hoboken, N.J. : John Wiley, ©2010.
Series: Adaptive and learning systems for signal processing, communications, and control.
Edition/Format:   Print book : EnglishView all editions and formats
Summary:

On-line learning is a fundamental tool in adaptive signal processingPresents on-line learning from a signal processing perspective.

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Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: J C Príncipe; Weifeng Liu; Simon S Haykin
ISBN: 9780470447536 0470447532
OCLC Number: 368051917
Description: xxi, 209 pages : illustrations ; 25 cm.
Contents: Background and preview --
Supervised, sequential and active learning --
Linear adaptive filters --
Nonlinear adaptive filters --
Reproducing kernel Hilbert spaces --
Kernel adaptive filters --
Kernel least-mean-square algorithm --
Kernel affine projection algorithms --
Kernel recursive least-squares algorithm --
Extended kernel recursive least-squares algorithm --
Designing sparse kernel adaptive filters.
Series Title: Adaptive and learning systems for signal processing, communications, and control.
Responsibility: Weifeng Liu, Josâe C. Prâincipe, and Simon Haykin.
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