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Conditional prior based lmmse estimation of sparse signals
KTH, School of Electrical Engineering (EES), Signal Processing. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0001-6992-5771
KTH, School of Electrical Engineering (EES), Signal Processing. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0002-6855-5868
KTH, School of Electrical Engineering (EES), Signal Processing. KTH, School of Electrical Engineering (EES), Communication Theory. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0003-2638-6047
2013 (English)In: 2013 Proceedings of the 21st European Signal Processing Conference (EUSIPCO), IEEE conference proceedings, 2013, p. 6811629-Conference paper, Published paper (Refereed)
Abstract [en]

We derive a linear minimum mean square error estimator for sparse vector estimation from an underdetermined set of linear equations. The derivation of the estimator uses a prior distribution conditioned on the support set of the underlying sparse vector. The estimator is used in the architecture of the standard orthogonal matching pursuit algorithm to achieve a better performance.

Place, publisher, year, edition, pages
IEEE conference proceedings, 2013. p. 6811629-
Series
European Signal Processing Conference, ISSN 2219-5491
Keywords [en]
Bayesian estimation, minimum mean square error estimation, sparse estimation, compressed sensing.
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:kth:diva-129192ISI: 000341754500242Scopus ID: 2-s2.0-84901374395ISBN: 978-099286260-2 (print)OAI: oai:DiVA.org:kth-129192DiVA, id: diva2:651926
Conference
2013 21st European Signal Processing Conference, EUSIPCO 2013; Marrakech; Morocco; 9 September 2013 through 13 September 2013
Note

QC 20140619

Available from: 2013-09-27 Created: 2013-09-23 Last updated: 2024-03-18Bibliographically approved

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Sundin, MartinJansson, MagnusChatterjee, Saikat

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CiteExportLink to record
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Citation style
  • apa
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Output format
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