Projection-based atom selection in orthogonal matching pursuit for compressive sensing
2012 (English)In: 2012 National Conference on Communications, NCC 2012, IEEE , 2012, 6176797- p.Conference paper (Refereed)
For compressive sensing, we endeavor to improve the atom selection strategy of the existing orthogonal matching pursuit (OMP) algorithm. To achieve a better estimate of the underlying support set progressively through iterations, we use a least squares solution based atom selection method. From a set of promising atoms, the choice of an atom is performed through a new method that uses orthogonal projection along-with a standard matched filter. Through experimental evaluations, the effect of projection based atom selection strategy is shown to provide a significant improvement for the support set recovery performance, in turn, the compressive sensing recovery.
Place, publisher, year, edition, pages
IEEE , 2012. 6176797- p.
Compressive sensing, Experimental evaluation, Least squares solutions, Orthogonal matching pursuit, Orthogonal projection, Selection methods, Set recovery, Least squares approximations, Signal reconstruction, Atoms
IdentifiersURN: urn:nbn:se:kth:diva-100054DOI: 10.1109/NCC.2012.6176797ScopusID: 2-s2.0-84860810944ISBN: 978-146730816-8OAI: oai:DiVA.org:kth-100054DiVA: diva2:542755
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