A blind source separation method based on chaotic immune genetic algorithm (CIGA) is proposed. The first step performs pretreatment of mixed signal, which mainly finishes whitening and centering by eigenvalue decomposition. The second step performs separation of sources and estimate of separate matrix. The separate matrix is updated by CIGA and high order staistcs, where object function is based on the transformation of statistics, where object function is based on the transformation of high order statistics of Kurtosis. The applicability of proposed method for blind source separation is demonstrated by simulation.


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    Titel :

    Blind Source Separation Based on Chaotic Immune Genetic Algorithm with High-order Cumulate


    Beteiligte:
    Wang, Kun (Autor:in) / Zhang, Wei (Autor:in)


    Erscheinungsdatum :

    01.12.2006


    Format / Umfang :

    3042388 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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