Heuristics in blind source separation

0499759 - ÚTIA 2019 RIV CZ eng K - Konferenční příspěvek (tuzemská konf.)
Kautský, Václav - Štěch, Jakub
Heuristics in blind source separation.
Stochastic and Physical Monitoring Systems. Praha: Czech Technical University in Prague, 2018 - (Franc, J.; Hobza, T.), s. 1-9. ISBN 978-80-01-06501-3.
[SPMS 2018. Dobřichovice (CZ), 18.06.2018-22.06.2018]
Grant CEP: GA ČR GA18-15970S
Institucionální podpora: RVO:67985556
Klíčová slova: Blind Source Separation * DEBR * Independent Component Extraction
Obor OECD: Statistics and probability
http://library.utia.cas.cz/separaty/2019/AS/stech-0499759.pdf

This paper deals with application of heuristic algorithms (DEBR, MCRS) in blind source separation (BSS). BSS methods focus on a separation of the (source) signal from a linear mixture. The idea of using heuristic algorithms is introduced on the independent component extraction (ICE) model. The motivation for considering heuristics is to obtain an initial guess needed by many ICE algorithms. Moreover, the comparison of this initialization, and other algorithms accuracy is performed.

Trvalý link: http://hdl.handle.net/11104/0292826