Presentation 2014-07-11
Design of Sparse Dictionary Consisting of Multiple Kernels for Kernel Adaptive Filtering
Taichi ISHIDA, Toshihisa TANAKA,
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Abstract(in English) A kernel adaptive filter is a nonlinear adaptive filter that makes effective use of kernel methods. Its extension is a multi-kernel adaptive filter that uses multiple kernels to improve generalization ability in estimation of unknown systems. This paper focuses on the fact that the multi-kernel adaptive filter adopts input signals for dictionary in spite of using multiple kernels. Based on this, we propose a novel dictionary construction method focused on individual kernel. Numerical examples show the efficiency of the proposed method.
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Keyword(in English) Kernel adaptive filter / Multikernel / Reproducing kernel Hilbert space
Paper # CAS2014-35,VLD2014-44,SIP2014-56,MSS2014-35,SIS2014-35
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Conference Date 2014/7/2(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) Design of Sparse Dictionary Consisting of Multiple Kernels for Kernel Adaptive Filtering
Sub Title (in English)
Keyword(1) Kernel adaptive filter
Keyword(2) Multikernel
Keyword(3) Reproducing kernel Hilbert space
1st Author's Name Taichi ISHIDA
1st Author's Affiliation Department of Electrical and Electronic Engineering, Tokyo University of Agriculture and Technology()
2nd Author's Name Toshihisa TANAKA
2nd Author's Affiliation Department of Electrical and Electronic Engineering, Tokyo University of Agriculture and Technology
Date 2014-07-11
Paper # CAS2014-35,VLD2014-44,SIP2014-56,MSS2014-35,SIS2014-35
Volume (vol) vol.114
Number (no) 125
Page pp.pp.-
#Pages 6
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