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A new proof of a contrast function for bounded component analysis and further analysis

机译:用于边界分量分析和进一步分析的对比函数的新证明

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摘要

Bounded Component Analysis (BCA) solves the Blind Source Separation (BSS) problem based on geometric assumptions. This paper introduces a new proof of a BCA contrast function, derived from elementary matrices, Gauss–Jordan elimination and convex geometry. The new proof and further analysis provide additional insight into a key assumption of BCA. In addition, an interpretation is presented to clarify one of the limitations of the instantaneous BCA algorithm. Experiments on audio sources support our analysis.
机译:有界成分分析(BCA)根据几何假设解决了盲源分离(BSS)问题。本文介绍了从基本矩阵,高斯-乔丹消和凸几何派生的BCA对比函数的新证明。新的证明和进一步的分析提供了对BCA关键假设的更多见解。另外,提出了一种解释以阐明瞬时BCA算法的局限性。音频来源的实验支持我们的分析。

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