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hal.structure.identifierLaboratoire de Physique de l'ENS Lyon [Phys-ENS]
dc.contributor.authorPUSTELNIK, Nelly
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
dc.contributor.authorDOSSAL, Charles
hal.structure.identifierLaboratoire de l'intégration, du matériau au système [IMS]
dc.contributor.authorTURCU, Flavius
hal.structure.identifierLaboratoire de l'intégration, du matériau au système [IMS]
dc.contributor.authorBERTHOUMIEU, Yannick
hal.structure.identifierTOTAL S.A.
dc.contributor.authorRICOUX, Philippe
dc.date.accessioned2024-04-04T02:22:01Z
dc.date.available2024-04-04T02:22:01Z
dc.date.issued2012-08-27
dc.date.conference2012-08-27
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/189621
dc.description.abstractEnThis paper investigates the problem of designing a deterministic system matrix, that is measurement matrix, for sparse recovery. An efficient greedy algorithm is proposed in order to extract the class of sparse signal/image which cannot be reconstructed by $\ell_1$-minimization for a fixed system matrix. Based on the polytope theory, the algorithm provides a geometric interpretation of the recovery condition considering the seminal work by Donoho. The paper presents an additional condition, extending the Fuchs/Tropp results, in order to deal with noisy measurements. Simulations are conducted for tomography-like imaging system in which the design of the system matrix is a difficult task consisting of the selection of the number of views according to the sparsity degree.
dc.language.isoen
dc.source.titleEUSIPCO 2012
dc.subject.enCompressed sensing
dc.subject.entomography
dc.subject.enpolytope theory
dc.title.enA greedy algorithm to extract sparsity degree for l1/l0-equivalence in a deterministic context
dc.typeCommunication dans un congrès
dc.subject.halSciences de l'ingénieur [physics]/Traitement du signal et de l'image
dc.subject.halInformatique [cs]/Traitement du signal et de l'image
bordeaux.pagex+5
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.conference.titleEuropean Signal Processing Conference (EUSIPCO)
bordeaux.countryRO
bordeaux.title.proceedingEUSIPCO 2012
bordeaux.conference.cityBucharest
bordeaux.peerReviewedoui
hal.identifierhal-00826828
hal.version1
hal.invitednon
hal.proceedingsoui
hal.conference.end2012-08-31
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-00826828v1
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