0483430 20240111140953.620171218235959.9 85051123821 000428438100026 10.1109/CAMSAP.2017.8313082 Under-Determined Tensor Diagonalization for Decomposition of Difficult Tensors 4 s. C cav_un_epca*0483428978-1-5386-1250-7IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP) 2017 263-266PiscatawayIEEE2017 canonical polyadic decomposition tensor decomposition matrix multiplication cav_un_auth*0101212 70 Tichavský Petr UTIA-B Stochastická informatika Department of Stochastic Informatics SI SI Department of Stochastic Informatics Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0274170 20 Phan A. H. JP cav_un_auth*0274171 10 Cichocki A. JP pdf http://library.utia.cas.cz/separaty/2017/SI/tichavsky-0483430.pdf 117623 cav_un_auth*0345929 GA17-00902S GA ČR This paper deals with the Cramer-Rao Lower Bound (CRLB) for a novel blind source separation method called Independent Component Extraction (ICE). Compared to Independent Component Analysis (ICA), ICE aims to extract only one independent signal from a linear mixture. The target signal is assumed to be non-Gaussian, while the other signals, which are not separated, are modeled as a Gaussian mixture. A CRLBinduced Bound (CRIB) for Interference-to-Signal Ratio (ISR) is derived. Numerical simulations compare the CRIB with the performance of an ICA and an ICE algorithm. The results show good agreement between the theory and the empirical results. cav_un_auth*0355384 CAMSAP 2017 - 7th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing 20171210 20171213 Curacao NL BB 10000 10100 10103 2018 3 PR RVO:67985556 http://hdl.handle.net/11104/0278758 S RIV/67985556:_____/17:00483430!RIV18-AV0-67985556 191975733 Doplnění UT WOS a Scopus RIV/67985556:_____/17:00483430!RIV18-GA0-67985556 191965061 Doplnění UT WOS a Scopus n.a. Proceedings Paper Engineering Electrical Electronic|Mathematics Applied 3+4 Proceedings Paper Engineering Electrical Electronic|Mathematics Applied 3+4 Proceedings Paper Engineering Electrical Electronic|Mathematics Applied 2017 85051123821 SCOPUS PUBMED 000428438100026 WOS pdf 117623 cav_un_epca*0483428 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP) 2017 978-1-5386-1250-7 263 266 Piscataway IEEE 2017