Applying of fractional wavelet transform in signal and image processing

dc.creator	Lazarević, Mihailo
dc.creator	Vasić, Vasilije
dc.creator	Cvelbar, Robert
dc.creator	Trišović, Nataša
dc.date.accessioned	2023-04-04T06:56:01Z
dc.date.available	2023-04-04T06:56:01Z
dc.date.issued	2009
dc.identifier.issn	1224-6069
dc.identifier.uri	https://machinery.mas.bg.ac.rs/handle/123456789/6763
dc.description.abstract	Here, they are presented the advantages of the fractional wavelet over the rest of the conventional (Fourier transformation) signal analysis techniques as well as other wavelet analysis techniques in the technical applications.	sr
dc.language.iso	en	sr
dc.publisher	Department of Mathematics from the „Politehnica” University of Timisoara	sr
dc.publisher	The Romanian Academy, Branch Timisoara	sr
dc.rights	closedAccess	sr
dc.rights.uri	https://creativecommons.org/licenses/by/4.0/
dc.source	Proceedings of the 12th Symposium of Mathematics and its Applications, 5-7th November 2009, Timisoara, Romania	sr
dc.subject	fractional calculus	sr
dc.subject	wavelet transform	sr
dc.subject	image processing	sr
dc.title	Applying of fractional wavelet transform in signal and image processing	sr
dc.type	conferenceObject	sr
dc.rights.license	BY	sr
dc.citation.epage	418
dc.citation.volume	413
dc.identifier.rcub	https://hdl.handle.net/21.15107/rcub_machinery_6763
dc.type.version	publishedVersion	sr

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