Asymptotic Performance of Contrast-Based Blind Source Separation Algorithms
نویسندگان
چکیده
ABSTRACT For several years, contrast-based Blind Source Separation (BSS) has been successfully used in several areas, including radiocommunications. Here a functional approach relying on differential calculus theory is proposed, aiming at analyzing asymptotic performances of BBS contrast criteria: the variance of the estimated separating matrix is expressed as a function of that of estimated cumulants. As an example, this paper focuses on three widely used fourth order (FO) contrast criteria. This allows to quantify the behavior of these three separators for large samples.
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تاریخ انتشار 2002