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Dynamic Iterative Pursuit
KTH, School of Electrical Engineering (EES), Signal Processing. 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: 0000-0003-2638-6047
KTH, School of Electrical Engineering (EES), Signal Processing. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0002-6855-5868
2012 (English)In: IEEE Transactions on Signal Processing, ISSN 1053-587X, E-ISSN 1941-0476, Vol. 60, no 9, 4967-4972 p.Article in journal (Refereed) Published
Abstract [en]

For compressive sensing of dynamic sparse signals, we develop an iterative pursuit algorithm. A dynamic sparse signal process is characterized by varying sparsity patterns over time/space. For such signals, the developed algorithm is able to incorporate sequential predictions, thereby providing better compressive sensing recovery performance, but not at the cost of high complexity. Through experimental evaluations, we observe that the new algorithm exhibits a graceful degradation at deteriorating signal conditions while capable of yielding substantial performance gains as conditions improve.

Place, publisher, year, edition, pages
IEEE Signal Processing Society, 2012. Vol. 60, no 9, 4967-4972 p.
Keyword [en]
Compressive sensing, iterative pursuit algorithms, sparse signal processing
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:kth:diva-102569DOI: 10.1109/TSP.2012.2203813ISI: 000307790800037Scopus ID: 2-s2.0-84865208092OAI: oai:DiVA.org:kth-102569DiVA: diva2:555452
Funder
Swedish Research Council, 621-2011-5847ICT - The Next Generation
Note

© 2012 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

QC 20120926

Available from: 2012-09-26 Created: 2012-09-20 Last updated: 2017-12-07Bibliographically approved

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