Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Dynamic subspace 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: Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on, IEEE conference proceedings, 2012, 3605-3608 p.Conference paper, Published paper (Refereed)
Abstract [en]

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.
Series
IEEE International Conference on Acoustics, Speech and Signal Processing. Proceedings, ISSN 1520-6149
Keyword [en]
Compressive sensing, recursive reconstruction, sparse reconstruction
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:kth:diva-102574DOI: 10.1109/ICASSP.2012.6288696ISI: 000312381403169Scopus ID: 2-s2.0-84867602227ISBN: 978-1-4673-0046-9 (print)OAI: oai:DiVA.org:kth-102574DiVA: diva2:555455
Conference
IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012; Kyoto;25 March 2012 through 30 March 2012
Funder
ICT - The Next Generation
Note

QC 20121113

Available from: 2012-11-13 Created: 2012-09-20 Last updated: 2013-04-15Bibliographically approved

Open Access in DiVA

fulltext(334 kB)163 downloads
File information
File name FULLTEXT02.pdfFile size 334 kBChecksum SHA-512
a3bd334a4cb9b377231772825ceb8cd7b3df299892b1246e4ba544447e2df4ed9ec9f464ae4fbbf841dbb115d185443e3a1d0c94706b2f0d5d52a7ef5aa44f70
Type fulltextMimetype application/pdf

Other links

Publisher's full textScopusIEEEXplore

Authority records BETA

Saikat, ChatterjeeJansson, Magnus

Search in DiVA

By author/editor
Zachariah, DaveSaikat, ChatterjeeJansson, Magnus
By organisation
Signal ProcessingACCESS Linnaeus CentreCommunication Theory
Signal Processing

Search outside of DiVA

GoogleGoogle Scholar
Total: 163 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 73 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf