Fast and accurate methods of independent component analysis: A survey

0360241 - ÚTIA 2012 RIV CZ eng J - Článek v odborném periodiku
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
Grant CEP: GA MŠMT 1M0572; GA ČR GA102/09/1278
Výzkumný záměr: CEZ:AV0Z10750506
Klíčová slova: Blind source separation * artifact removal * electroencephalogram * audio signal processing
Kód oboru RIV: BB - Aplikovaná statistika, operační výzkum
Impakt faktor: 0.454, rok: 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).
Trvalý link: http://hdl.handle.net/11104/0197837