Fast and accurate methods of independent component analysis: A survey

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SYSNO ASEP	0360241
Document Type	J - Journal Article
R&D Document Type	Journal Article
Subsidiary J	Článek ve WOS
Title	Fast and accurate methods of independent component analysis: A survey
Author(s)	Tichavský, Petr (UTIA-B)_{RID, ORCID} Koldovský, Zbyněk (UTIA-B)_RID
Number of authors	2
Source Title	Kybernetika. - : Ústav teorie informace a automatizace AV ČR, v. v. i. - ISSN 0023-5954 Roč. 47, č. 3 (2011), s. 426-438
Number of pages	13 s.
Language	eng - English
Country	CZ - Czech Republic
Keywords	Blind source separation ; artifact removal ; electroencephalogram ; audio signal processing
Subject RIV	BB - Applied Statistics, Operational Research
R&D Projects	1M0572 GA MŠMT - Ministry of Education, Youth and Sports (MEYS)
	GA102/09/1278 GA ČR - Czech Science Foundation (CSF)
CEZ	AV0Z10750506 - UTIA-B (2005-2011)
UT WOS	000293207900008
Annotation	This 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).
Workplace	Institute of Information Theory and Automation
Contact	Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201.
Year of Publishing	2012

Number of the records: 1