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Heuristics in blind source separation
- 1.0499759 - ÚTIA 2019 RIV CZ eng K - Conference Paper (Czech conference)
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]
R&D Projects: GA ČR GA18-15970S
Institutional support: RVO:67985556
Keywords : Blind Source Separation * DEBR * Independent Component Extraction
OECD category: 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.
Permanent Link: http://hdl.handle.net/11104/0292826
Number of the records: 1