Original title: Heuristics in blind source separation
Authors: Kautský, Václav ; Štěch, Jakub
Document type: Papers
Conference/Event: SPMS 2018, Dobřichovice (CZ), 20180618
Year: 2018
Language: eng
Abstract: 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.\n
Keywords: Blind Source Separation; DEBR; Independent Component Extraction
Project no.: GA18-15970S (CEP)
Funding provider: GA ČR
Host item entry: Stochastic and Physical Monitoring Systems, ISBN 978-80-01-06501-3

Institution: Institute of Information Theory and Automation AS ČR (web)
Document availability information: Fulltext is available at external website.
External URL: http://library.utia.cas.cz/separaty/2019/AS/stech-0499759.pdf
Original record: http://hdl.handle.net/11104/0292826

Permalink: http://www.nusl.cz/ntk/nusl-391529

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Research > Institutes ASCR > Institute of Information Theory and Automation
Conference materials > Papers
 Record created 2019-02-13, last modified 2019-10-20

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