Dynamic subspace pursuit
2012 (English)In: Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on, IEEE conference proceedings, 2012, 3605-3608 p.Conference paper (Refereed)
For compressive sensing of dynamic sparse signals, we develop an iterative greedy search algorithm based on subspace pursuit (SP) that can incorporate sequential predictions, thereby taking advantage of its low complexity while improving recovery performance by exploiting correlations described by a state space model. The algorithm, which we call dynamic subspace pursuit (DSP), is presented and experimentally validated. It exhibits a graceful degradation at deteriorating signal conditions while capable of yielding substantial performance gains as conditions improve.
Place, publisher, year, edition, pages
IEEE conference proceedings, 2012. 3605-3608 p.
, IEEE International Conference on Acoustics, Speech and Signal Processing. Proceedings, ISSN 1520-6149
Compressive sensing, recursive reconstruction, sparse reconstruction
IdentifiersURN: urn:nbn:se:kth:diva-102574DOI: 10.1109/ICASSP.2012.6288696ISI: 000312381403169ScopusID: 2-s2.0-84867602227ISBN: 978-1-4673-0046-9OAI: oai:DiVA.org:kth-102574DiVA: diva2:555455
IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012; Kyoto;25 March 2012 through 30 March 2012
FunderICT - The Next Generation
QC 201211132012-11-132012-09-202013-04-15Bibliographically approved