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Hybrid greedy pursuit
KTH, School of Electrical Engineering (EES), Communication Theory.ORCID iD: 0000-0003-2638-6047
KTH, School of Electrical Engineering (EES), Communication Theory.
KTH, School of Electrical Engineering (EES), Communication Theory.ORCID iD: 0000-0002-7926-5081
2011 (English)In: 19th European Signal Processing Conference (EUSIPCO 2011), 2011, 343-347 p.Conference paper, Published paper (Refereed)
Abstract [en]

For constructing the support set of a sparse vector in the standardcompressive sensing framework, we develop a hybridgreedy pursuit algorithm that combines the advantages ofserial and parallel atom selection strategies. In an iterativeframework, the hybrid algorithm uses a joint sparsity informationextracted from the independent use of serial and parallelgreedy pursuit algorithms. Through experimental evaluations,the hybrid algorithm is shown to provide a significantimprovement for the support set recovery performance.

Place, publisher, year, edition, pages
2011. 343-347 p.
National Category
Telecommunications
Identifiers
URN: urn:nbn:se:kth:diva-67704Scopus ID: 2-s2.0-84863746365OAI: oai:DiVA.org:kth-67704DiVA: diva2:485080
Conference
19th European Signal Processing Conference (EUSIPCO 2011). Barcelona, Spain, August 29 - September 2, 2011
Note
QC 20120416Available from: 2012-01-27 Created: 2012-01-27 Last updated: 2012-04-16Bibliographically approved

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Scopushttp://www.eurasip.org/Proceedings/Eusipco/Eusipco2011/papers/1569422135.pdf

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Chatterjee, SaikatSkoglund, Mikael

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