A trispectra method for solving the m-input n-output (n/spl ges/m) wideband blind identification and signal separation problem with unknown number of sources m is presented. The method is universal in the sense that it does not impose any restriction on the probability distribution of the input signals provided that they are non-Gaussian. A criterion, which states a sufficient condition for identification and separation, has been proved. An algorithm is also developed based on the criterion, whose efficiency is verified by the simulations.


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    Titel :

    Blind identification and separation of convolutively mixed independent sources


    Beteiligte:
    Jun Wang (Autor:in) / Zhenya He (Autor:in)


    Erscheinungsdatum :

    01.07.1997


    Format / Umfang :

    133193 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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