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Fast and accurate methods of independent component analysis: A survey

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    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 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).
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