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IJON
2007

Minimum range approach to blind partial simultaneous separation of bounded sources: Contrast and discriminacy properties

11 years 1 months ago
Minimum range approach to blind partial simultaneous separation of bounded sources: Contrast and discriminacy properties
The blind source separation (BSS) problem is often solved by maximizing objective functions reflecting the statistical independence between outputs. Since global maximization may be difficult without exhaustive search, criteria for which all the local maxima correspond to an acceptable solution of the BSS problem are of interest. It is known that some BSS criteria used in a deflation procedure benefit from this property. More recently, the present authors have shown that the ‘‘spurious maximum free’’ property still holds for the minimum range approach to BSS in a simultaneous separation scheme. This paper extends the last result by showing that source demixing and local maximization of a range-based criterion are equivalent, even in a partial separation scheme, i.e. when PpK sources are simultaneously extracted from K linearly independent mixtures of them. r 2007 Elsevier B.V. All rights reserved.
Frédéric Vrins, Dinh-Tuan Pham
Added 15 Dec 2010
Updated 15 Dec 2010
Type Journal
Year 2007
Where IJON
Authors Frédéric Vrins, Dinh-Tuan Pham
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