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Fast and accurate methods of independent component analysis: A survey
- 1.0360241 - UTIA-B 2012 RIV CZ eng J - Journal Article
Tichavský, Petr - Koldovský, Zbyněk
Fast and accurate methods of independent component analysis: A survey.
Kybernetika. Roč. 47, č. 3 (2011), s. 426-438. ISSN 0023-5954
R&D Projects: GA MŠk 1M0572; GA ČR GA102/09/1278
Institutional research plan: CEZ:AV0Z10750506
Keywords : Blind source separation * artifact removal * electroencephalogram * audio signal processing
Subject RIV: BB - Applied Statistics, Operational Research
Impact factor: 0.454, year: 2011
http://library.utia.cas.cz/separaty/2011/SI/tichavsky-fast and accurate methods of independent component analysis a survey.pdf
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).
Permanent Link: http://hdl.handle.net/11104/0197837