Smoothed Quadratic Time-Frequency Distributions Using Image Segmentation Techniques

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but.event.date27.04.2017cs
but.event.titleStudent EEICT 2017cs
dc.contributor.authorPevný, Jindřich
dc.date.accessioned2020-05-07T09:40:29Z
dc.date.available2020-05-07T09:40:29Z
dc.date.issued2017cs
dc.description.abstractThis paper deals with the topic of realization of smoothed quadratic timefrequency distributions. New crossterm reduction method based on image segmentation techniques is proposed and applied on the set of test signals. The results are discussed and compared with existing directional smoothing method.en
dc.formattextcs
dc.format.extent289-292cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationProceedings of the 23st Conference STUDENT EEICT 2017. s. 289-292. ISBN 978-80-214-5496-5cs
dc.identifier.isbn978-80-214-5496-5
dc.identifier.urihttp://hdl.handle.net/11012/187110
dc.language.isoencs
dc.publisherVysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.relation.ispartofProceedings of the 23st Conference STUDENT EEICT 2017en
dc.relation.urihttp://www.feec.vutbr.cz/EEICT/cs
dc.rights© Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.rights.accessopenAccessen
dc.subjectspectral analysisen
dc.subjectWigner distributionen
dc.subjectimage processingen
dc.titleSmoothed Quadratic Time-Frequency Distributions Using Image Segmentation Techniquesen
dc.type.driverconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.departmentFakulta elektrotechniky a komunikačních technologiícs
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