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

Wei Gao, Shen Fan, Roberto Togneri, Victor Sreeram

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Abstract

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.

Original languageEnglish
JournalComputer Speech and Language
Volume51
DOIs
Publication statusPublished - 4 Apr 2018

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