DocumentCode
2239876
Title
Adaptive SVC for nonlinear channel equalization
Author
Perez-Cruz, Fernando ; Artes-Rodriguez, Antonio
Author_Institution
DTSC, Univ. Carlos III de Madrid, Leganes, Spain
fYear
2002
fDate
3-6 Sept. 2002
Firstpage
1
Lastpage
4
Abstract
We propose a new scheme for adapting support vector classifiers (SVC) in non-stationary environments. This adaptive SVC (ASVC) relies in interpreting the margin and penalty factor of the SVC as a relevance measure over the samples and on an iterative re-weighted least square (IRWLS) approach for optimizing it, which resembles the RLS filtering for adaptive equalization. The ASVC capabilities are shown by means of computer experiments.
Keywords
adaptive filters; channel estimation; iterative methods; least squares approximations; support vector machines; ASVC; IRWLS approach; RLS filtering; adaptive SVC; adaptive equalization; iterative reweighted least square approach; nonlinear channel equalization; support vector classifiers; Abstracts; Adaptive equalizers; Least squares approximations;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Conference, 2002 11th European
Conference_Location
Toulouse
ISSN
2219-5491
Type
conf
Filename
7072256
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