NDLI: An overview of robust compressive sensing of sparse signals in impulsive noise

Content Provider	IEEE Xplore Digital Library
Author	Ramirez, A.B. Carrillo, R.E. Arce, G. Barner, K.E. Sadler, B.
Copyright Year	2015
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Univ. of Delaware, Newark, DE, USA (Arce, G.; Barner, K.E.) \|\| US Army Res. Lab., Adelphi, MD, USA (Sadler, B.) \|\| Signal Process. Lab., Ecole Polytech. Fed. de Lausanne, Lausanne, Switzerland (Carrillo, R.E.) \|\| Univ. Ind. de Santander, Bucaramanga, Colombia (Ramirez, A.B.)
Abstract	While compressive sensing (CS) has traditionally relied on $l_{2}$ as an error norm, a broad spectrum of applications has emerged where robust estimators are required. Among those, applications where the sampling process is performed in the presence of impulsive noise, or where the sampling of the high-dimensional sparse signals requires the preservation of a distance different than $l_{2}.$ This article overviews robust sampling and nonlinear reconstruction strategies for sparse signals based on the Cauchy distribution and the Lorentzian norm for the data fidelity. The derived methods outperform existing compressed sensing techniques in impulsive environments, thus offering a robust framework for CS.
Starting Page	2859
Ending Page	2863
File Size	124408
Page Count	5
File Format	PDF
ISBN	9780992862633
ISSN	20761465
DOI	10.1109/EUSIPCO.2015.7362907
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-08-31
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	EURASIP
Subject Keyword	Robust signal reconstruction Signal processing algorithms Europe Signal processing Impulsive noise Sampling methods Robustness Noise measurement Compressed sensing Nonlinear estimation
Content Type	Text
Resource Type	Article

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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	Mr. Siddhartha Mukherjee siddhartha@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	ndl-support@iitkgp.ac.in
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8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
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