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dc.contributor.authorDuval, Vincent
dc.contributor.authorPeyré, Gabriel
dc.date.accessioned2018-01-08T10:53:15Z
dc.date.available2018-01-08T10:53:15Z
dc.date.issued2015
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/17246
dc.descriptionDéc 2015 Cancun Mexique
dc.language.isoenen
dc.subjectdeconvolution
dc.subjecttotal variation
dc.subjectsparse regularization
dc.subject.ddc515en
dc.titleThe Non Degenerate Source Condition: Support Robustness for Discrete and Continuous Sparse Deconvolution
dc.typeCommunication / Conférence
dc.description.abstractenIn this paper, we study discrete and continuous versions of the LASSO in order to solve the deconvolution problem. We shed light on the Non Degenerate Source Condition, a property which yields support robustness for both the continuous and discrete problems. More precisely, we show that this property yields exact support recovery in the continuous case and the estimation of twice the number of spikes in the discrete case.
dc.relation.ispartoftitleIEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, Dec 2015, Cancun, Mexico
dc.relation.ispartoftitleIEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing
dc.relation.ispartofpublnameIEEE - Institute of Electrical and Electronics Engineers
dc.relation.ispartofpublcityPiscataway, NJ
dc.relation.ispartofdate2015
dc.subject.ddclabelAnalyseen
dc.relation.ispartofisbn978-1-4799-1963-5
dc.relation.forthcomingnonen
dc.identifier.doi10.1109/CAMSAP.2015.7383733
dc.description.ssrncandidatenon
dc.description.halcandidatenon
dc.description.readershiprecherche
dc.description.audienceInternational
dc.date.updated2018-04-13T09:21:52Z
hal.person.labIds34587*
hal.person.labIds60*


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