NDLI: A sparse adaptive filtering using time-varying soft-thresholding techniques

Content Provider	IEEE Xplore Digital Library
Author	Murakami, Y. Yamagishi, M. Yukawa, M. Yamada, I.
Copyright Year	2010
Description	Author affiliation: Mathematical Neuroscience Lab., Brain Science Institute, RIKEN, Japan (Yukawa, M.) \|\| Dept. of Communications and Integrated Systems, Tokyo Institute of Technology, Japan (Murakami, Y.; Yamagishi, M.; Yamada, I.)
Abstract	In this paper, we propose a novel adaptive filtering algorithm based on an iterative use of (i) the proximity operator and (ii) the parallel variable-metric projection. Our time-varying cost function is a weighted sum of squared distances (in a variable-metric sense) plus a possibly nonsmooth penalty term, and the proposed algorithm is derived along the idea of proximal forward-backward splitting in convex analysis. For application to sparse-system identification problems, we employ the (weighted) ℓ1 norm as the penalty term, leading to a time-varying soft-thresholding operator. As the simple example of the proposed algorithm, we present the variable-metric affine projection algorithm composed with the time-varying soft-thresholding operator. Numerical examples demonstrate that the proposed algorithms notably outperform their counterparts without soft-thresholding both in convergence speed and steady-state mismatch, while the extra computational complexity due to the additional soft-thresholding is negligibly low.
Starting Page	3734
Ending Page	3737
File Size	818972
Page Count	4
File Format	PDF
ISBN	9781424442959
ISSN	15206149
DOI	10.1109/ICASSP.2010.5495870
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-03-14
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Adaptive filters Cost function Filtering algorithms Projection algorithms Computational complexity Compressed sensing Convergence of numerical methods Iterative algorithms Time varying systems Neuroscience parallel projection sparse adaptive filtering proximal forward-backward splitting soft-thresholding variable metric
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Acceleration of adaptive proximal forward-backward splitting method and its application to sparse system identification

Sparse adaptive filtering by iterative hard thresholding

Iterative soft-thresholding for time-varying signal recovery

Adaptive proximal forward-backward splitting for sparse system identification under impulsive noise

Image deconvolution under poisson noise using sparse representations and proximal thresholding iteration

Iterative null space projection method with adaptive thresholding in sparse signal recovery

An efficient robust adaptive filtering scheme based on parallel subgradient projection techniques

Modified distributed iterative hard thresholding

Adaptive Parallel Variable-Metric Projection Algorithm -An Application to Acoustic Echo Cancellation

A sparse adaptive filtering using time-varying soft-thresholding techniques

Similar Documents

Acceleration of adaptive proximal forward-backward splitting method and its application to sparse system identification

Sparse adaptive filtering by iterative hard thresholding

Iterative soft-thresholding for time-varying signal recovery

Adaptive proximal forward-backward splitting for sparse system identification under impulsive noise

Image deconvolution under poisson noise using sparse representations and proximal thresholding iteration

Iterative null space projection method with adaptive thresholding in sparse signal recovery

An efficient robust adaptive filtering scheme based on parallel subgradient projection techniques

Modified distributed iterative hard thresholding

Adaptive Parallel Variable-Metric Projection Algorithm -An Application to Acoustic Echo Cancellation

A sparse adaptive filtering using time-varying soft-thresholding techniques