Sparse Signal Recovery via Convex Optimization

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but.event.date28.04.2016cs
but.event.titleStudent EEICT 2016cs
dc.contributor.authorNovosadová, Michaela
dc.date.accessioned2018-07-10T12:48:16Z
dc.date.available2018-07-10T12:48:16Z
dc.date.issued2016cs
dc.description.abstractWe propose recovering 1D piecewice linear signal using a sparsity-based method consisting of two steps. The first step is signal segmentation via optimization algorithms solving sparsity based model. Second step consists of applying an ordinary mean square method on each detected segment of the signal. We show results of our experiments on two types of the signal.en
dc.formattextcs
dc.format.extent354-358cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationProceedings of the 22nd Conference STUDENT EEICT 2016. s. 354-358. ISBN 978-80-214-5350-0cs
dc.identifier.isbn978-80-214-5350-0
dc.identifier.urihttp://hdl.handle.net/11012/83955
dc.language.isoencs
dc.publisherVysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.relation.ispartofProceedings of the 22nd Conference STUDENT EEICT 2016en
dc.relation.urihttp://www.feec.vutbr.cz/EEICT/cs
dc.rights© Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.rights.accessopenAccessen
dc.subjectconvex optimizationen
dc.subjectDouglas-Rachford algorithmen
dc.subjectForward-Backward algorithmen
dc.subjectsignal recoveryen
dc.subjectsignal segmentationen
dc.titleSparse Signal Recovery via Convex Optimizationen
dc.type.driverconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.departmentFakulta elektrotechniky a komunikačních technologiícs
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