Presentation 2011-05-12
Multi-Kernel NLMS Algorithm with Coherence Criterion and Its Application to Online Prediction of Time Series Data
Masahiro YUKAWA,
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Abstract(in English) In this paper, we propose a nonlinear adaptive filtering algorithm using multiple kernels. The proposed algorithm is a generalization of the kernel normalized least mean square (KNLMS) algorithm (Richard et al., 2009). The algorithm utilizes a coherence criterion for dictionary selection. Numerical examples show the advantages of the proposed algorithm in online prediction of nonstationary time series data.
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Keyword(in English) kernel adaptive filtering / multiple kernel / reproducing kernel Hilbert space
Paper # EA2011-14,SIP2011-14,SP2011-14
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Committee EA
Conference Date 2011/5/5(1days)
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Language ENG
Title (in Japanese) (See Japanese page)
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Title (in English) Multi-Kernel NLMS Algorithm with Coherence Criterion and Its Application to Online Prediction of Time Series Data
Sub Title (in English)
Keyword(1) kernel adaptive filtering
Keyword(2) multiple kernel
Keyword(3) reproducing kernel Hilbert space
1st Author's Name Masahiro YUKAWA
1st Author's Affiliation Dept. Electrical and Electronic Engineering, Niigata University()
Date 2011-05-12
Paper # EA2011-14,SIP2011-14,SP2011-14
Volume (vol) vol.111
Number (no) 26
Page pp.pp.-
#Pages 4
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