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A fast algorithm for blind separation of non-Gaussian and time-correlated signals

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F07%3A00085969" target="_blank" >RIV/67985556:_____/07:00085969 - isvavai.cz</a>

  • Alternative codes found

    RIV/46747885:24220/07:#0000396

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    A fast algorithm for blind separation of non-Gaussian and time-correlated signals

  • Original language 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.

  • Czech name

    Rychlý algoritmus pro slepou separaci ne-Gaussovských a časově korelovaných signálů

  • Czech description

    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.

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    FH - Neurology, neuro-surgery, nuero-sciences

  • OECD FORD branch

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2007

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proccedings of the 15th European Signal Processing Conference. EUSIPCO 2007

  • ISBN

    978-83-921340-2-2

  • ISSN

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

    1731-1735

  • Publisher name

    PTETiS

  • Place of publication

    Poznan

  • Event location

    Poznan

  • Event date

    Sep 3, 2007

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article