0380078 20240111140819.520120911235959.9 000310623800421 5 s. P cav_un_epca*0380077978-1-4673-1068-02076-14652094-2098BucharestEURASIP2012 blind source separation independent subspaces 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/2012/SI/tichavsky-algorithms for nonorthogonal approximate joint block-diagonalization.pdf 258 kB GA102/09/1278 GA ČR cav_un_auth*0253174 Approximate joint block diagonalization (AJBD) of a set of matrices has applications in blind source separation, e.g., when the signal mixtures contain mutually independent subspaces of dimension higher than one. In this paper we present three novel AJBD algorithms which differ in the final target criterion to be minimized in the optimization process. Two of the algorithms extend the principle of Jacobi elementary rotations to the more general concept of matrix elementary rotations. The proposed algorithms are compared to existing state-of-the art AJBD algorithms. cav_un_auth*0283080 20th European Signal Processing Conference (EUSIPCO 2012) Bukurešť 27.08.2012-31.08.2012 RO 2013 BB 2 PO RVO:67985556 http://hdl.handle.net/11104/0210891 n.a. Proceedings Paper Engineering Electrical Electronic 2012 000310623800421 WOS 258 kB cav_un_epca*0380077 20th European Signal Processing Conference (EUSIPCO 2012) 978-1-4673-1068-0 2076-1465 2094 2098 Bucharest EURASIP 2012