Presentation | 2013-02-01 Multikernel Adaptive Filtering With Double Regularization Masahiro YUKAWA, Ryu-ichiro ISHII, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | We propose an efficient multikernel adaptive filtering algorithm with double regularizers. One is a block l1 norm for kernel groups which contributes to selecting relevant kernels adaptively from many possible kernels employed, preventing a nonlinear filter from overfitting noisy data. The other regularizer is a block l1 norm for data groups which contributes to updating the dictionary adaptively. As the resulting cost function contains two nonsmooth (but proximable) terms, we approximate the latter regularizer by its Moreau envelope and apply the adaptive proximal forward-backward splitting method to the approximated cost function. Numerical examples show the efficacy of the proposed algorithm. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | proximity operator / multiple kernels / kernel adaptive filter |
Paper # | SIP2012-105,RCS2012-262 |
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Committee | SIP |
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Conference Date | 2013/1/24(1days) |
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Registration To | Signal Processing (SIP) |
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Language | ENG |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Multikernel Adaptive Filtering With Double Regularization |
Sub Title (in English) | |
Keyword(1) | proximity operator |
Keyword(2) | multiple kernels |
Keyword(3) | kernel adaptive filter |
1st Author's Name | Masahiro YUKAWA |
1st Author's Affiliation | Dept. Electrical and Electronic Engineering, Niigata University() |
2nd Author's Name | Ryu-ichiro ISHII |
2nd Author's Affiliation | Dept. Electrical and Electronic Engineering, Niigata University |
Date | 2013-02-01 |
Paper # | SIP2012-105,RCS2012-262 |
Volume (vol) | vol.112 |
Number (no) | 423 |
Page | pp.pp.- |
#Pages | 4 |
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