Spectral Super-resolution and Band-limited Extrapolation Using Slepian Series

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dc.contributor.authorMihálik, Ondrejcs
dc.contributor.authorMichalík, Davidcs
dc.contributor.authorJura, Pavelcs
dc.contributor.authorFiedler, Petrcs
dc.coverage.issue27cs
dc.coverage.volume52cs
dc.date.accessioned2020-08-20T10:58:52Z
dc.date.available2020-08-20T10:58:52Z
dc.date.issued2019-10-29cs
dc.description.abstractBand-limited signal extrapolation and spectral super-resolutions are closely related. They both can be achieved using Slepian series. This method is often believed to be dependent on computing definite integrals. Instead of using numerical integration, a simple and reliable method, which can be implemented in MATLAB, is presented. This way, it is much easier to investigated the extent to which a signal can be extrapolated from its samples taken in a finite interval. The proposed method is tested with data from a real microphone array.en
dc.formattextcs
dc.format.extent388-393cs
dc.format.mimetypeapplication/pdfcs
dc.identifier.citationIFAC-PapersOnLine (ELSEVIER). 2019, vol. 52, issue 27, p. 388-393.en
dc.identifier.doi10.1016/j.ifacol.2019.12.691cs
dc.identifier.issn2405-8963cs
dc.identifier.other159797cs
dc.identifier.urihttp://hdl.handle.net/11012/194804
dc.language.isoencs
dc.publisherIFACcs
dc.relation.ispartofIFAC-PapersOnLine (ELSEVIER)cs
dc.relation.urihttps://www.sciencedirect.com/science/article/pii/S2405896319326400cs
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivatives 4.0 Internationalcs
dc.rights.accessopenAccesscs
dc.rights.sherpahttp://www.sherpa.ac.uk/romeo/issn/2405-8963/cs
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/cs
dc.subjectProlate spheroidal wave functionsen
dc.subjectSlepian seriesen
dc.subjectSignal extrapolationen
dc.subjectSampled signalsen
dc.subjectFrequency spectrumen
dc.subjectFourier analysisen
dc.subjectBandwidthen
dc.titleSpectral Super-resolution and Band-limited Extrapolation Using Slepian Seriesen
dc.type.driverconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
sync.item.dbidVAV-159797en
sync.item.dbtypeVAVen
sync.item.insts2022.04.22 12:51:42en
sync.item.modts2022.04.22 12:15:25en
thesis.grantorVysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií. Ústav automatizace a měřicí technikycs
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