Spurious entropy minima for multimodal source separation

D. Pham, F. Vrins, M. Verleysen
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引用次数: 2

Abstract

This paper presents two approaches for showing that spurious minima of the entropy may exist in the blind source separation context. The first one is based on the calculation of first and second derivative of the output entropy and The second one is based on entropy approximator for multimodal variable having small overlap between the modes. It is shown that spurious entropy minima arise when the source distribution becomes more and more multimodal.
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多模态源分离的杂散熵最小
本文提出了两种方法来证明在盲源分离情况下熵的伪极小值可能存在。第一种是基于输出熵的一阶导数和二阶导数的计算,第二种是基于模态之间有小重叠的多模态变量的熵逼近。结果表明,当源分布越来越多模态时,会产生伪熵极小值。
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