Sparse Representations for Structured Noise Filtering

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dc.creatorLamichhane, Bishnu P.
dc.creatorRebollo-Neira, Laura
dc.date2007-09-16
dc.date.accessioned2026-07-07T08:29:54Z
dc.date.available2026-07-07T08:29:54Z
dc.descriptionThe role of sparse representations in the context of structured noise filtering is discussed. A strategy, especially conceived so as to address problems of an ill posed nature, is presented. The proposed approach revises and extends the Oblique Matching Pursuit technique. It is shown that, by working with an orthogonal projection of the signal to be filtered, it is possible to apply orthogonal matching pursuit like strategies in order to accomplish the required signal discrimination
dc.identifierhttps://arxiv.org/abs/0709.2475
dc.identifierhttp://arxiv.org/abs/0709.2475
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/138103
dc.subjectFunctional Analysis
dc.titleSparse Representations for Structured Noise Filtering
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