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IWANN
2001
Springer
13 years 10 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 6 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 6 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
14 years 17 days 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 6 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...