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 |