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rdf:type
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Description
| - In this article we propose a computationally efficient method (termed FCOMBI) to combine the strengths of non-Gaussianity based blind source separation (BSS) and cross-correlation-based BSS. This is done by fusing the separtion abilities of two well known algorithms: EFICA and WASOBI. The algorithm is suitable for the analysis of very high-dimensional datasets like high-density Electroencephalogram or Magnetoencephalogram recordings.
- In this article we propose a computationally efficient method (termed FCOMBI) to combine the strengths of non-Gaussianity based blind source separation (BSS) and cross-correlation-based BSS. This is done by fusing the separtion abilities of two well known algorithms: EFICA and WASOBI. The algorithm is suitable for the analysis of very high-dimensional datasets like high-density Electroencephalogram or Magnetoencephalogram recordings. (en)
- V clanku je navrzen vypocetne nenarocny algoritmus, ktery kombinuje schopnosti slepe separace dvou odlisnych algorimu: EFICA, ktery vyuziva ne-gaussovskosti rozlozeni jednotlivych separovanych zdroju, a WASOBI, ktery vyuziva rozdilnosti frekvencnich spekter jednotlivych zdroju. Algoritmus je vhodny pro analyzu mnohadimensionalnich dat z elektroencefalogramu a magnetoencefaloogramu s vysokym rozlisenim. (cs)
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Title
| - A fast algorithm for blind separation of non-Gaussian and time-correlated signals
- A fast algorithm for blind separation of non-Gaussian and time-correlated signals (en)
- Rychlý algoritmus pro slepou separaci ne-Gaussovských a časově korelovaných signálů (cs)
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skos:prefLabel
| - A fast algorithm for blind separation of non-Gaussian and time-correlated signals
- A fast algorithm for blind separation of non-Gaussian and time-correlated signals (en)
- Rychlý algoritmus pro slepou separaci ne-Gaussovských a časově korelovaných signálů (cs)
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skos:notation
| - RIV/67985556:_____/07:00085969!RIV08-AV0-67985556
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http://linked.open.../vavai/riv/strany
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http://linked.open...avai/riv/aktivita
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http://linked.open...avai/riv/aktivity
| - P(1M0572), P(GA102/05/0278), P(GP102/07/P384), Z(AV0Z10750506)
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http://linked.open...vai/riv/dodaniDat
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http://linked.open...aciTvurceVysledku
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http://linked.open.../riv/druhVysledku
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http://linked.open...iv/duvernostUdaju
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http://linked.open...titaPredkladatele
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http://linked.open...dnocenehoVysledku
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http://linked.open...ai/riv/idVysledku
| - RIV/67985556:_____/07:00085969
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http://linked.open...riv/jazykVysledku
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http://linked.open.../riv/klicovaSlova
| - Blind source separation; multidimensional independent components; FCOMBI (en)
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http://linked.open.../riv/klicoveSlovo
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http://linked.open...ontrolniKodProRIV
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http://linked.open...v/mistoKonaniAkce
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http://linked.open...i/riv/mistoVydani
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http://linked.open...i/riv/nazevZdroje
| - Proccedings of the 15th European Signal Processing Conference. EUSIPCO 2007
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http://linked.open...in/vavai/riv/obor
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http://linked.open...ichTvurcuVysledku
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http://linked.open...cetTvurcuVysledku
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http://linked.open...vavai/riv/projekt
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http://linked.open...UplatneniVysledku
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http://linked.open...iv/tvurceVysledku
| - Koldovský, Zbyněk
- Tichavský, Petr
- Gómez-Herrero, G.
- Egiazarian, K.
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http://linked.open...vavai/riv/typAkce
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http://linked.open.../riv/zahajeniAkce
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http://linked.open...n/vavai/riv/zamer
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number of pages
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http://purl.org/ne...btex#hasPublisher
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https://schema.org/isbn
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is http://linked.open...avai/riv/vysledek
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