0360241 20240903170623.120110707235959.9 000293207900008 13 s. cav_un_epca*02971630023-5954473 (2011)426-438Ústav teorie informace a automatizace AV ČR, v. v. i. Blind source separation artifact removal electroencephalogram audio signal processing cav_un_auth*0101212 Tichavský Petr Stochastická informatika Department of Stochastic Informatics SI SI UTIA-B Department of Stochastic Informatics Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0108100 Koldovský Zbyněk Stochastická informatika Department of Stochastic Informatics SI SI UTIA-B Department of Stochastic Informatics Ústav teorie informace a automatizace AV ČR, v. v. i. http://library.utia.cas.cz/separaty/2011/SI/tichavsky-fast and accurate methods of independent component analysis a survey.pdf 898 kB 1M0572 GA MŠk cav_un_auth*0001814 GA102/09/1278 GA ČR cav_un_auth*0253174 CEZ:AV0Z10750506 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). 2012 BB 2 4 O 4o 20231122134558.0 http://hdl.handle.net/11104/0197837 COMPUTERSCIENCECYBERNETICS 0.473 0.033 9.5 0.0016 0.277 403 61 21 0.307 20.45 0.61 Q2 23.915 17.500 Q4 Q3 2011 Soubory v repozitáři: 0360241.pdf 000293207900008 WOS 898 kB cav_un_epca*0297163 Kybernetika 0023-5954 Roč. 47 č. 3 2011 426 438 Ústav teorie informace a automatizace AV ČR, v. v. i.