0499759 20240103221333.320190114235959.9 9 s. P cav_un_epca*0498359978-80-01-06501-31-9PrahaCzech Technical University in Prague2018FrancJ.HobzaT. Blind Source Separation DEBR Independent Component Extraction cav_un_auth*0355383 Stochastická informatika Department of Stochastic Informatics SI SI Department of Stochastic Informatics Kautský Václav UTIA-B CZ Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0355640 Adaptivní systémy Department of Adaptive Systems AS AS Department of Adaptive Systems Štěch Jakub UTIA-B CZ Ústav teorie informace a automatizace AV ČR, v. v. i. http://library.utia.cas.cz/separaty/2019/AS/stech-0499759.pdf cav_un_auth*0362986 GA18-15970S GA ČR This paper deals with application of heuristic algorithms (DEBR, MCRS) in blind source separation (BSS). BSS methods focus on a separation of the (source) signal from a linear mixture. The idea of using heuristic algorithms is introduced on the independent component extraction (ICE) model. The motivation for considering heuristics is to obtain an initial guess needed by many ICE algorithms. Moreover, the comparison of this initialization, and other algorithms accuracy is performed. cav_un_auth*0368990 SPMS 2018 20180618 20180622 Dobřichovice CZ BB 10000 10100 10103 2019 2 RVO:67985556 http://hdl.handle.net/11104/0292826 1 cav_un_auth*0370826 Faculty of Mechatronics, Informatics, and Interdisciplinary Studies, Technical University of Liberec, Czech Republic CZ S 2018 SCOPUS PUBMED WOS cav_un_epca*0498359 Stochastic and Physical Monitoring Systems 978-80-01-06501-3 1 9 Praha Czech Technical University in Prague 2018 Franc J. 340 340 Hobza T.