Endre søk
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Progressive fusion of reconstruction algorithms for low latency applications in compressed sensing
KTH, Skolan för elektro- och systemteknik (EES), Kommunikationsteori.ORCID-id: 0000-0003-2638-6047
2014 (engelsk)Inngår i: Signal Processing, ISSN 0165-1684, E-ISSN 1872-7557, Vol. 97, s. 146-151Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

Recently, it has been shown that fusion of the estimates of a set of sparse recovery algorithms result in an estimate better than the best estimate in the set, especially when the number of measurements is very limited. Though these schemes provide better sparse signal recovery performance, the higher computational requirement makes it less attractive for low latency applications. To alleviate this drawback, in this paper, we develop a progressive fusion based scheme for low latency applications in compressed sensing. In progressive fusion, the estimates of the participating algorithms are fused progressively according to the availability of estimates. The availability of estimates depends on computational complexity of the participating algorithms, in turn on their latency requirement. Unlike the other fusion algorithms, the proposed progressive fusion algorithm provides quick interim results and successive refinements during the fusion process, which is highly desirable in low latency applications. We analyse the developed scheme by providing sufficient conditions for improvement of CS reconstruction quality and show the practical efficacy by numerical experiments using synthetic and real-world data.

sted, utgiver, år, opplag, sider
2014. Vol. 97, s. 146-151
Emneord [en]
Compressed sensing, Sparse recovery, Fusion, Signal reconstruction, Progressive reconstruction, Low latency
HSV kategori
Identifikatorer
URN: urn:nbn:se:kth:diva-143423DOI: 10.1016/j.sigpro.2013.10.019ISI: 000331506000013Scopus ID: 2-s2.0-84887790177OAI: oai:DiVA.org:kth-143423DiVA, id: diva2:706611
Merknad

QC 20140321

Tilgjengelig fra: 2014-03-21 Laget: 2014-03-21 Sist oppdatert: 2017-12-05bibliografisk kontrollert

Open Access i DiVA

Fulltekst mangler i DiVA

Andre lenker

Forlagets fulltekstScopus

Personposter BETA

Chatterjee, Saikat

Søk i DiVA

Av forfatter/redaktør
Chatterjee, Saikat
Av organisasjonen
I samme tidsskrift
Signal Processing

Søk utenfor DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric

doi
urn-nbn
Totalt: 350 treff
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf