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DSP
2007
13 years 4 months ago
Blind separation of nonlinear mixtures by variational Bayesian learning
Blind separation of sources from nonlinear mixtures is a challenging and often ill-posed problem. We present three methods for solving this problem: an improved nonlinear factor a...
Antti Honkela, Harri Valpola, Alexander Ilin, Juha...
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...
TSP
2010
12 years 11 months ago
Blind separation of Gaussian sources with general covariance structures: bounds and optimal estimation
Abstract--We consider the separation of Gaussian sources exhibiting general, arbitrary (not necessarily stationary) covariance structures. First, assuming a semi-blind scenario, in...
Arie Yeredor
ICA
2004
Springer
13 years 10 months ago
Analytical Solution of the Blind Source Separation Problem Using Derivatives
In this paper, we consider independence property between a random process and its first derivative. Then, for linear mixtures, we show that cross-correlations between mixtures and...
Sebastien Lagrange, Luc Jaulin, Vincent Vigneron, ...
ESANN
2006
13 years 6 months ago
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 ...
Dinh-Tuan Pham, Frédéric Vrins