Compression of Vehicle-Driving Data by Means of Orthogonal Bases

but.event.date25.04.2023cs
but.event.titleSTUDENT EEICT 2023cs
dc.contributor.authorŠimeček, Vít
dc.contributor.authorMihálik, Ondrej
dc.date.accessioned2023-07-17T05:57:33Z
dc.date.available2023-07-17T05:57:33Z
dc.date.issued2023cs
dc.description.abstractThe paper deals with application of orthogonal basesin signal approximation with the aim of data compression in avehicle driving simulator. Three different bases are tested: DiscreteFourier Basis, Discrete Cosine Basis, and Slepian Basis.Quality of signal approximation error is assessed in terms of globalsquared errors. Thus obtained numerical results suggest thatSlepian Basis affords the sparsest representation of signals testedin this study. Therefore, a considerable reduction of requiredmemory can be accomplished.en
dc.formattextcs
dc.format.extent13-16cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationProceedings II of the 29st Conference STUDENT EEICT 2023: Selected papers. s. 13-16. ISBN 978-80-214-6154-3cs
dc.identifier.doi10.13164/eeict.2023.13
dc.identifier.isbn978-80-214-6154-3
dc.identifier.issn2788-1334
dc.identifier.urihttp://hdl.handle.net/11012/210660
dc.language.isoencs
dc.publisherVysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.relation.ispartofProceedings II of the 29st Conference STUDENT EEICT 2023: Selected papersen
dc.relation.urihttps://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2023_sbornik_2_v2.pdfcs
dc.rights© Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.rights.accessopenAccessen
dc.subjectsignalen
dc.subjectapproximationen
dc.subjectcompressionen
dc.subjectSlepian sequencesen
dc.subjectDPSSen
dc.titleCompression of Vehicle-Driving Data by Means of Orthogonal Basesen
dc.type.driverconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.departmentFakulta elektrotechniky a komunikačních technologiícs
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