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IWANN
2001
Springer
13 years 9 months ago
The Minimum Entropy and Cumulants Based Contrast Functions for Blind Source Extraction
Abstract. In this paper we address the problem of blind source extraction of a subset of “interesting” independent sources from a linear convolutive or instantaneous mixture. T...
Sergio Cruces, Andrzej Cichocki, Shun-ichi Amari
CORR
2006
Springer
105views Education» more  CORR 2006»
13 years 4 months ago
Mixing and non-mixing local minima of the entropy contrast for blind source separation
In this paper, both non-mixing and mixing local minima of the entropy are analyzed from the viewpoint of blind source separation (BSS); they correspond respectively to acceptable a...
Frédéric Vrins, Dinh-Tuan Pham, Mich...
IJON
2007
100views more  IJON 2007»
13 years 4 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...
Frédéric Vrins, Dinh-Tuan Pham
IDA
2009
Springer
13 years 11 months ago
Reference Based Contrast Functions in a Semi-blind Context
We deal with blind signal extraction in the framework of a convolutive mixture of independent sources. Considering so-called reference signals, we generalize former identifiabilit...
Marc Castella, Eric Moreau
IJON
2006
131views more  IJON 2006»
13 years 4 months ago
Optimizing blind source separation with guided genetic algorithms
This paper proposes a novel method for blindly separating unobservable independent component (IC) signals based on the use of a genetic algorithm. It is intended for its applicati...
J. M. Górriz, Carlos García Puntonet...