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A family of bounded component analysis algorithms

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Bounded Component Analysis (BCA) has recently been introduced as an alternative method for the Blind Source Separation problem. Under the generic assumption on source boundedness, BCA provides a flexible framework for the separation of dependent (even correlated) as well as independent sources. This article provides a family of algorithms derived based on the geometric picture implied by the founding assumptions of the BCA approach. We also provide a numerical example demonstrating the ability of the proposed algorithms to separate mixtures of some dependent sources.

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IEEE

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Acoustics, Electrical electronics engineering

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2012 IEEE International Conference On Acoustics, Speech and Signal Processing (ICASSP)

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