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dc.contributor.authorZáviška, Pavelcs
dc.contributor.authorMokrý, Ondřejcs
dc.contributor.authorRajmic, Pavelcs
dc.date.accessioned2019-04-03T03:54:43Z
dc.date.available2019-04-03T03:54:43Z
dc.date.issued2018-09-26cs
dc.identifier.other150958cs
dc.identifier.urihttp://hdl.handle.net/11012/137903
dc.description.abstractThis technical report shows and discusses in detail how Sparse Audio Declipper (SPADE) algorithms are (and should be) derived from the signal model using the ADMM approach. The analysis version (A-SPADE) of Kitic et. al. (LVA/ICA 2015) is derived and justified. The derivation of the synthesis version (S-SPADE) of the same research team is done right, leading to an algorithm comparable to A-SPADE. The document also discusses the issue of complex variables.en
dc.formattextcs
dc.format.extent1-8cs
dc.format.mimetypeapplication/pdfcs
dc.language.isoencs
dc.relation.urihttps://arxiv.org/abs/1809.09847cs
dc.rightsCreative Commons Attribution-NonCommercial-ShareAlike 4.0 Internationalcs
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/cs
dc.subjectSPADEen
dc.subjectsparsityen
dc.subjectdeclippingen
dc.subjectanalysisen
dc.subjectsynthesisen
dc.subjectSPADE
dc.subjectřídkost
dc.subjectdekliping
dc.subjectanalýza
dc.subjectsyntéza
dc.titleS-SPADE Done Right: Detailed Study of the Sparse Audio Declipper Algorithmsen
thesis.grantorVysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií. Ústav telekomunikacícs
sync.item.dbidVAV-150958en
sync.item.dbtypeVAVen
sync.item.insts2019.06.17 10:22:33en
sync.item.modts2019.05.18 00:47:28en
dc.rights.accessopenAccesscs
dc.type.driverotheren
dc.type.versionsubmittedVersionen


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Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International
Except where otherwise noted, this item's license is described as Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International