0483429 20240111140953.620171218235959.9 85048543492 000428438100041 10.1109/CAMSAP.2017.8313097 Cramer-Rao-Induced Bound for Interference-to-Signal Ratio Achievable through Non-Gaussian Independent Component Extraction 4 s. C cav_un_epca*0483428978-1-5386-1250-7IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP) 2017 94-97PiscatawayIEEE2017 Independent Component Extraction Independent Component Analysis cav_un_auth*0350114 60 Kautský V. CZ cav_un_auth*0230113 30 Koldovský Z. CZ cav_un_auth*0101212 10 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. pdf http://library.utia.cas.cz/separaty/2017/SI/tichavsky-0483429.pdf 138990 cav_un_auth*0345929 GA17-00902S GA ČR cav_un_auth*0325246 SGS15/214/OHK4/3T/14 ČVUT Praha CZ This paper deals with the Cramér-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 PO RVO:67985556 http://hdl.handle.net/11104/0278760 S RIV/67985556:_____/17:00483429!RIV18-AV0-67985556 191975732 Doplnění UT WOS a Scopus RIV/67985556:_____/17:00483429!RIV18-GA0-67985556 191965060 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 85048543492 SCOPUS PUBMED 000428438100041 WOS pdf 138990 cav_un_epca*0483428 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP) 2017 978-1-5386-1250-7 94 97 Piscataway IEEE 2017