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.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.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. 2019, vol. 52, issue 27, p. 388-393.en
dc.identifier.doi10.1016/j.ifacol.2019.12.691cs
dc.identifier.issn2405-8963cs
dc.identifier.orcid0000-0001-7433-9275cs
dc.identifier.orcid0000-0001-5120-1759cs
dc.identifier.orcid0000-0001-8077-7271cs
dc.identifier.orcid0000-0001-8558-5164cs
dc.identifier.other159797cs
dc.identifier.researcheridD-7623-2012cs
dc.identifier.researcheridW-7430-2019cs
dc.identifier.scopus35097521900cs
dc.identifier.scopus8441662100cs
dc.identifier.urihttp://hdl.handle.net/11012/194804
dc.language.isoencs
dc.publisherIFACcs
dc.relation.ispartofIFAC-PapersOnLinecs
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.subjectProlate spheroidal wave functions
dc.subjectSlepian series
dc.subjectSignal extrapolation
dc.subjectSampled signals
dc.subjectFrequency spectrum
dc.subjectFourier analysis
dc.subjectBandwidth
dc.titleSpectral Super-resolution and Band-limited Extrapolation Using Slepian Seriesen
dc.title.alternativeSpectral 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.insts2025.10.14 14:08:33en
sync.item.modts2025.10.14 09:37:43en
thesis.grantorVysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií. Ústav automatizace a měřicí technikycs

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