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 Japanese) | (See Japanese page) |
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. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | kernel adaptive filtering / multiple kernel / reproducing kernel Hilbert space |
Paper # | EA2011-14,SIP2011-14,SP2011-14 |
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Conference Information | |
Committee | EA |
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Conference Date | 2011/5/5(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Engineering Acoustics (EA) |
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Language | ENG |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
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 |
Date of Issue |