Geodesic
Fast and accurate methods of independent component analysis: A survey
Kybernetika, Tome 47 (2011) no. 3, pp. 426-438

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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).
Classification : 92-02, 92-04, 92-08, 94A12
Keywords: Blind source separation; probability distribution; score function; autoregressive random processes; audio signal processing; electroencephalogram; artifact rejection 
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     author = {Tichavsk\'y, Petr and Koldovsk\'y, Zbyn\v{e}k},
     title = {Fast and accurate methods of independent component analysis: {A} survey},
     journal = {Kybernetika},
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     number = {3},
     year = {2011},
     language = {en},
     url = {http://geodesic.mathdoc.fr/item/KYB_2011__47_3_a7/}
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Tichavský, Petr; Koldovský, Zbyněk. Fast and accurate methods of independent component analysis: A survey. Kybernetika, Tome 47 (2011) no. 3, pp. 426-438. http://geodesic.mathdoc.fr/item/KYB_2011__47_3_a7/