Title
Sparsity-aware adaptive filters based on ℓp-norm inspired soft-thresholding technique
Abstract
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
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 Yukawa127230.44
Yuta Tawara200.68
Masao Yamagishi36711.11
isao yamada495374.52