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Weight adjusted tensor method for blind separation of underdetermined mixtures of nonstationary sources
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SYSNO ASEP 0356666 Druh ASEP J - Článek v odborném periodiku Zařazení RIV J - Článek v odborném periodiku Poddruh J Článek ve WOS Název Weight adjusted tensor method for blind separation of underdetermined mixtures of nonstationary sources Tvůrce(i) Tichavský, Petr (UTIA-B) RID, ORCID
Koldovský, Zbyněk (UTIA-B) RIDZdroj.dok. IEEE Transactions on Signal Processing - ISSN 1053-587X
Roč. 59, č. 3 (2011), s. 1037-1047Poč.str. 11 s. Jazyk dok. eng - angličtina Země vyd. US - Spojené státy americké Klíč. slova blind source separation ; tensor decomposition ; Cramer-Rao lower bound Vědní obor RIV BB - Aplikovaná statistika, operační výzkum CEP 1M0572 GA MŠMT - Ministerstvo školství, mládeže a tělovýchovy GA102/09/1278 GA ČR - Grantová agentura ČR CEZ AV0Z10750506 - UTIA-B (2005-2011) UT WOS 000287316500014 EID SCOPUS 79951643186 DOI 10.1109/TSP.2010.2096221 Anotace 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. Pracoviště Ústav teorie informace a automatizace Kontakt Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201. Rok sběru 2011
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