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Robust matching pursuit for recovery of Gaussian sparse signal
KTH, School of Electrical Engineering (EES), Communication Theory. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0003-2638-6047
KTH, School of Electrical Engineering (EES), Communication Theory. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.
KTH, School of Electrical Engineering (EES), Communication Theory. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0002-7926-5081
2011 (English)In: 2011 Digital Signal Processing and Signal Processing Education Meeting, DSP/SPE 2011 - Proceedings, 2011, 420-424 p.Conference paper, Published paper (Refereed)
Abstract [en]

For compressive sensing (CS) recovery of Gaussian sparse signal, we explore the framework of Bayesian linear models to achieve a robust reconstruction performance in the presence of measurement noise. Using a priori statistical knowledge, we develop a minimum mean square error (MMSE) estimation based iterative greedy search algorithm. Through experimental evaluations, we show that the new algorithm provides a robust CS reconstruction performance compared to an existing least square based algorithm.

Place, publisher, year, edition, pages
2011. 420-424 p.
Keyword [en]
Compressive sensing, sparsity
National Category
Signal Processing
Research subject
SRA - ICT
Identifiers
URN: urn:nbn:se:kth:diva-46531DOI: 10.1109/DSP-SPE.2011.5739251ISI: 000298803400074Scopus ID: 2-s2.0-79954507876ISBN: 978-1-61284-227-1 (print)OAI: oai:DiVA.org:kth-46531DiVA: diva2:453872
Conference
2011 Digital Signal Processing and Signal Processing Education Meeting, DSP/SPE 2011; Sedona, AZ; 4 January 2011 - 7 January 2011
Funder
ICT - The Next Generation
Note
QC 20111104Available from: 2011-11-03 Created: 2011-11-03 Last updated: 2012-04-03Bibliographically approved

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Chatterjee, SaikatSkolglund, Mikael

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf