A Comparison of Popular Band-limited Signal Reconstruction Methods

Simple item page
but.event.date23.04.2024cs
but.event.titleSTUDENT EEICT 2024cs
dc.contributor.authorTelecký, Matyáš
dc.contributor.authorMihálik, Ondrej
dc.date.accessioned2024-07-09T07:38:36Z
dc.date.available2024-07-09T07:38:36Z
dc.date.issued2024cs
dc.description.abstractThe paper focuses on the reconstruction of continuous and discrete signals observed during a finite time interval. For the task of signal recovery, the Gerchberg-Papoulis (GP) method is compared with a proposal for an improved GP implementation and with Slepian reconstruction method. These three methods are implemented in the MATLAB and applied to selected band-limited signals. Their results are compared in terms of computational complexity and reconstruction accuracy. The improved GP method and Slepian method are recommendable, as they remove problems associated with spurious signal periodicity that is usually induced by the FFT in the original GP method.en
dc.formattextcs
dc.format.extent89-92cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationProceedings I of the 30st Conference STUDENT EEICT 2024: General papers. s. 89-92. ISBN 978-80-214-6231-1cs
dc.identifier.isbn978-80-214-6231-1
dc.identifier.issn2788-1334
dc.identifier.urihttps://hdl.handle.net/11012/249203
dc.language.isoencs
dc.publisherVysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.relation.ispartofProceedings I of the 30st Conference STUDENT EEICT 2024: General papersen
dc.relation.urihttps://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2024_sbornik_1.pdfcs
dc.rights© Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.rights.accessopenAccessen
dc.subjectband-limited signalen
dc.subjectGerchberg-Papoulis Methoden
dc.subjectMATLABen
dc.subjectsignal approximationen
dc.subjectsignal recoveryen
dc.titleA Comparison of Popular Band-limited Signal Reconstruction Methodsen
dc.type.driverconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.departmentFakulta elektrotechniky a komunikačních technologiícs
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
89-eeict-2024.pdf
Size:
2.18 MB
Format:
Adobe Portable Document Format
Description:
Download
Collections
Student EEICT 2024: General Papers