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Adaptive selection of search space in look ahead orthogonal matching pursuit
KTH, School of Electrical Engineering (EES), Communication Theory.ORCID iD: 0000-0003-2638-6047
2012 (English)In: 2012 National Conference on Communications, NCC 2012, 2012, 6176852- p.Conference paper, Published paper (Refereed)
Abstract [en]

Compressive Sensing theory combines the signal sampling and compression for sparse signals resulting in reduction in sampling rate and computational complexity of the measurement system. In recent years, many recovery algorithms were proposed to reconstruct the signal efficiently. Look Ahead OMP (LAOMP) is a recently proposed method which uses a look ahead strategy and performs significantly better than other greedy methods. In this paper, we propose a modification to the LAOMP algorithm to choose the look ahead parameter L adaptively, thus reducing the complexity of the algorithm, without compromising on the performance. The performance of the algorithm is evaluated through Monte Carlo simulations.

Place, publisher, year, edition, pages
2012. 6176852- p.
Keyword [en]
Compressed sensing, Matching Pursuit Algorithms, Sparse Recovery
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:kth:diva-100052DOI: 10.1109/NCC.2012.6176852Scopus ID: 2-s2.0-84860817756ISBN: 978-146730816-8 (print)OAI: oai:DiVA.org:kth-100052DiVA: diva2:542772
Conference
18th National Conference on Communications, NCC 2012;Kharagpur;3 February 2012 through 5 February 2012
Funder
ICT - The Next Generation
Note

QC 20120803

Available from: 2012-08-03 Created: 2012-08-03 Last updated: 2013-04-15Bibliographically approved

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Chatterjee, Saikat

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CiteExportLink to record
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Citation style
  • apa
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Language
  • de-DE
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  • en-US
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  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf