0356666 20240103194855.720110228235959.9 000287316500014 79951643186 10.1109/TSP.2010.2096221 11 s. cav_un_epca*02567271053-587X593 (2011)1037-1047 blind source separation tensor decomposition Cramer-Rao lower bound 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-0356666.pdf 1M0572 GA MŠk cav_un_auth*0001814 GA102/09/1278 GA ČR cav_un_auth*0253174 CEZ:AV0Z10750506 In this paper, a novel algorithm to blindly separate an instantaneous linear underdetermined mixture of nonstationary sources is proposed. The separation is based on the working assumption that the sources are piecewise stationary with a different variance in each block. It proceeds in two steps: (1) estimating the mixing matrix, and (2) computing the optimum beamformer in each block to maximize the signal-to-interference ratio of each separated signal. Estimating the mixing matrix is accomplished through a specialized tensor decomposition of the set of sample covariance matrices of the received mixture in each block. It utilizes optimum weighting, which allows statistically efficient (CRB attaining) estimation provided that the data obey the assumed Gaussian piecewise stationary model. In simulations, performance of the algorithm is successfully tested on blind separation of 16 speech signals from 9 linear instantaneous mixtures of these signals. 2011 BB 4 A 4a 20231122134443.5 http://hdl.handle.net/11104/0195127 ENGINEERINGELECTRICALELECTRONIC 2.829 0.421 6.9 0.05714 1.249 16727 527 151 1.647 30.74 4.12 Q1 90.357 88.776 Q1* Q1* 2011 Soubory v repozitáři: tichavsky-0356666.pdf 79951643186 SCOPUS 000287316500014 WOS cav_un_epca*0256727 IEEE Transactions on Signal Processing 1053-587X 1941-0476 Roč. 59 č. 3 2011 1037 1047