Sparse Signal Separation in Redundant Dictionaries

dc.citation.firstpage2047
dc.citation.journalTitle2012 IEEE International Symposium on Information Theory Proceedingsen_US
dc.citation.lastpage2051
dc.contributor.authorAubel, Céline
dc.contributor.authorStuder, Christoph
dc.contributor.authorPope, Graeme
dc.contributor.authorBölcskei, Helmut
dc.date.accessioned2013-09-18T17:04:53Z
dc.date.available2013-09-18T17:04:53Z
dc.date.issued2012
dc.description.abstractWe formulate a unified framework for the separation of signals that are sparse in “morphologically” different redundant dictionaries. This formulation incorporates the socalled “analysis” and “synthesis” approaches as special cases and contains novel hybrid setups. We find corresponding coherencebased recovery guarantees for an 1-norm based separation algorithm. Our results recover those reported in Studer and Baraniuk, ACHA, submitted, for the synthesis setting, provide new recovery guarantees for the analysis setting, and form a basis for comparing performance in the analysis and synthesis settings. As an aside our findings complement the D-RIP recovery results reported in Candès et al., ACHA, 2011, for the “analysis” signal recovery problem minimize x Ψ x 1 subject to y − A x 2 ≤ ε by delivering corresponding coherence-based recovery results.en_US
dc.identifier.citationC. Aubel, C. Studer, G. Pope and H. Bölcskei, "Sparse Signal Separation in Redundant Dictionaries," <i>2012 IEEE International Symposium on Information Theory Proceedings,</i> 2012.*
dc.identifier.doihttp://dx.doi.org/10.1109/ISIT.2012.6283720en_US
dc.identifier.urihttps://hdl.handle.net/1911/72097
dc.language.isoengen
dc.publisherIEEEen_US
dc.titleSparse Signal Separation in Redundant Dictionariesen_US
dc.typeJournal articleen_US
dc.type.dcmiTexten
dc.type.dcmiTexten_US
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