Adaptive selection of search space in look ahead orthogonal matching pursuit
2012 (English)In: 2012 National Conference on Communications, NCC 2012, 2012, 6176852- p.Conference paper (Refereed)
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.
Compressed sensing, Matching Pursuit Algorithms, Sparse Recovery
IdentifiersURN: urn:nbn:se:kth:diva-100052DOI: 10.1109/NCC.2012.6176852ScopusID: 2-s2.0-84860817756ISBN: 978-146730816-8OAI: oai:DiVA.org:kth-100052DiVA: diva2:542772
18th National Conference on Communications, NCC 2012;Kharagpur;3 February 2012 through 5 February 2012
FunderICT - The Next Generation
QC 201208032012-08-032012-08-032013-04-15Bibliographically approved