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Adaptive selection of search space in look ahead orthogonal matching pursuit
KTH, Skolan för elektro- och systemteknik (EES), Kommunikationsteori.ORCID-id: 0000-0003-2638-6047
2012 (engelsk)Inngår i: 2012 National Conference on Communications, NCC 2012, 2012, s. 6176852-Konferansepaper, Publicerat paper (Fagfellevurdert)
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.

sted, utgiver, år, opplag, sider
2012. s. 6176852-
Emneord [en]
Compressed sensing, Matching Pursuit Algorithms, Sparse Recovery
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Identifikatorer
URN: urn:nbn:se:kth:diva-100052DOI: 10.1109/NCC.2012.6176852Scopus ID: 2-s2.0-84860817756ISBN: 978-146730816-8 (tryckt)OAI: oai:DiVA.org:kth-100052DiVA, id: diva2:542772
Konferanse
18th National Conference on Communications, NCC 2012;Kharagpur;3 February 2012 through 5 February 2012
Forskningsfinansiär
ICT - The Next Generation
Merknad

QC 20120803

Tilgjengelig fra: 2012-08-03 Laget: 2012-08-03 Sist oppdatert: 2013-04-15bibliografisk kontrollert

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