Online Blind Signals Separation with Gaussian Mixture Models.

概要

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This paper proposes a new online algorithm for blind separation of mixed signals. The algorithm doses not any knowledge on statistical properties of the source signals. It estimates the distribution of sourses based on Gaussian mixture model and separates the observed signals. Although similer algorithms can be seen in literature, they are batch type and are not applicable for nonstationary sources. Since the proposed algorithm is an online algorithm, it is applicable for nonstationary sources as well as stationary ones.
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