Discriminacy of the minimum range approach to blind separation of bounded sources

The Blind Source Separation (BSS) problem is often solved by maximizing objective functions reflecting the statistical dependency between outputs. Since global maximization may be difficult without exhaustive search, criteria for which it can be proved that all the local maxima correspond to an acceptable solution of the BSS problem have been developed. These criteria are used in a deflation procedure. This paper shows that the “spurious maximum free” property still holds for the minimum range approach when the sources are extracted simultaneously.