Temporal minimum entropy and minimum mutual information criteria of nonstationary signals for blind source separation

Hsiao-Chun Wu

doi:10.1117/12.316550

8 July 1998 Temporal minimum entropy and minimum mutual information criteria of nonstationary signals for blind source separation

Hsiao-Chun Wu

Author Affiliations +

Proceedings Volume 3389, Hybrid Image and Signal Processing VI; (1998) https://doi.org/10.1117/12.316550
Event: Aerospace/Defense Sensing and Controls, 1998, Orlando, FL, United States

Abstract

The information-theoretic network for independent component analysis has been studied for unsupervised learning in the signal processing area. We derive a learning rule from the mutual information or the sum of the marginal entropy based on the local-Gaussian assumption for blind source separation of the convolutive mixture. The algorithm has been tested for several real-world recordings and showed the promising results.

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Hsiao-Chun Wu "Temporal minimum entropy and minimum mutual information criteria of nonstationary signals for blind source separation", Proc. SPIE 3389, Hybrid Image and Signal Processing VI, (8 July 1998); https://doi.org/10.1117/12.316550

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