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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    Title :

    Blind identification and separation of convolutively mixed independent sources


    Contributors:
    Jun Wang (author) / Zhenya He (author)


    Publication date :

    1997-07-01


    Size :

    133193 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




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