Original title: Compression of Vehicle-Driving Data by Means of Orthogonal Bases
Authors: Šimeček, Vít ; Mihálik, Ondrej
Document type: Papers
Language: eng
Publisher: Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií
Abstract: The 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.
Keywords: approximation; compression; DPSS; signal; Slepian sequences
Host item entry: Proceedings II of the 29st Conference STUDENT EEICT 2023: Selected papers, ISBN 978-80-214-6154-3, ISSN 2788-1334

Institution: Brno University of Technology (web)
Document availability information: Fulltext is available in the Brno University of Technology Digital Library.
Original record: http://hdl.handle.net/11012/210660

Permalink: http://www.nusl.cz/ntk/nusl-531766


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