Fast And Accurate Methods Of Independent Component Analysis: A Survey

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dc.contributor.authorTichavský, Petr
dc.contributor.authorKoldovský, Zbyněk
dc.date.accessioned2016-07-08
dc.date.available2016-07-08
dc.date.issued2011
dc.description.abstractThis paper presents a survey of recent successful algorithms for blind separation of determined instantaneous linear mixtures of independent sources such as natural speech or biomedical signals. These algorithms rely either on non-Gaussianity, nonstationarity, spectral diversity, or on a combination of them. Performance of the algorithms will be demonstrated on separation of a linear instantaneous mixture of audio signals (music, speech) and on artifact removal in electroencephalogram (EEG).en
dc.formattext
dc.identifier.issn0023-5954
dc.identifier.scopus2-s2.0-83455182017
dc.identifier.urihttps://dspace.tul.cz/handle/15240/16580
dc.identifier.urihttps://www.utia.cas.cz/files/soutez11/kyber/tichavsky.pdf
dc.language.isoen
dc.publisherKybernetika
dc.relation.ispartofKybernetika
dc.sourcej-scopus
dc.sourcej-wok
dc.subjectBlind source separationen
dc.subjectprobability distributionen
dc.subjectscore functionen
dc.subjectautoregressive random processesen
dc.subjectaudio signal processingen
dc.subjectelectroencephalogramen
dc.subjectartifact rejectionen
dc.titleFast And Accurate Methods Of Independent Component Analysis: A Surveyen
dc.typearticle
local.accessopen access
local.citation.epage438
local.citation.spage426
local.departmentInstitute of Information Technology and Electronics
local.facultyFaculty of Mechatronic and Interdisciplinary Studies
local.fulltextyes
local.identifier.pubmedMinistry of Education, Youth and Sports of the Czech Republic [1M0572]; Grant Agency of the Czech Republic [102/09/1278]
local.identifier.wok297278200023
local.notenefunguje RIV
local.relation.issue3
local.relation.volume47
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