Title | ||
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Sparsity-aware adaptive filters based on ℓp-norm inspired soft-thresholding technique |
Abstract | ||
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We propose a novel sparsity-aware adaptive filtering algorithm based on iterative use of weighted soft-thresholding. The weights are determined based on a rough local approximation of the ℓp norm (0 <; p <; 1). The proposed algorithm operates the weighted soft-thresholding for enhancing the sparsity, following estimation error managements with the affine projection. The proposed weighting technique alleviates an extra bias of no benefit caused by shrinking dominant coefficients. The numerical examples demonstrate that the proposed weighting technique outperforms the existing one when the situation changes under the fixed parameter settings. |
Year | DOI | Venue |
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2012 | 10.1109/ISCAS.2012.6271878 | Circuits and Systems |
Keywords | DocType | ISSN |
adaptive filters,approximation theory,ℓp-norm,affine projection,estimation error management,rough local approximation,sparsity-aware adaptive filtering algorithm,weighted soft-thresholding technique | Conference | 0271-4302 |
ISBN | Citations | PageRank |
978-1-4673-0218-0 | 0 | 0.34 |
References | Authors | |
0 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Masahiro Yukawa | 1 | 272 | 30.44 |
Yuta Tawara | 2 | 0 | 0.68 |
Masao Yamagishi | 3 | 67 | 11.11 |
isao yamada | 4 | 953 | 74.52 |