Orthogonally-Constrained Extraction of Independent Non-Gaussian Component from Non-Gaussian Background without ICA

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dc.contributor.authorKoldovský Zbyněkcs
dc.contributor.authorTichavský Petrcs
dc.contributor.authorOno Nobutakacs
dc.date.accessioned2020-06-08T09:38:33Z
dc.date.available15-18-2019en
dc.date.available2020-06-08T09:38:33Z
dc.date.issued2018cs
dc.date.updated19-53-2019en
dc.format.extent10cs
dc.identifier.doi10.1007/978-3-319-93764-9_16
dc.identifier.isbn9783319937632cs
dc.identifier.issn3029743cs
dc.identifier.urihttps://dspace.tul.cz/handle/15240/155526
dc.language.isoengcs
dc.publisher.cityVelká Britániecs
dc.relation.ispartofLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) - 14th International Conference on Latent Variable Analysis and Signal Separation, LVA/ICA 2018en
dc.relation.ispartofseries1cs
dc.relation.urihttps://asap.ite.tul.cz/wp-content/uploads/sites/3/2018/05/LVA2018v2.pdfcs
dc.riv.kontrolni-cislo192058070cs
dc.riv.specifikaceRIV/46747885:24220/18:00006128!RIV19-GA0-24220___cs
dc.subjectndependent Component Analysiscs
dc.subjectBlind Source Separationcs
dc.subjectNon-Gaussian Distributioncs
dc.subjectScore Functioncs
dc.subjectIndependent VectorAnalysiscs
dc.titleOrthogonally-Constrained Extraction of Independent Non-Gaussian Component from Non-Gaussian Background without ICAcs
dc.titleOrthogonally-Constrained Extraction of Independent Non-Gaussian Component from Non-Gaussian Background without ICAen
local.citation.epage161-170cs
local.citation.spage161-170cs
local.event.locationGuildford, UKen
local.identifier.publikace6128
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