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» Linear State-Space Models for Blind Source Separation
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ESANN
2003
13 years 8 months ago
Neural Net with Two Hidden Layers for Non-Linear Blind Source Separation
In this paper, we present an algorithm that minimizes the mutual information between the outputs of a perceptron with two hidden layers. The neural network is then used as separati...
Rubén Martín-Clemente, Susana Hornil...
ICA
2007
Springer
14 years 1 months ago
Blind Separation of Instantaneous Mixtures of Dependent Sources
Abstract. This paper deals with the problem of Blind Source Separation. Contrary to the vast majority of works, we do not assume the statistical independence between the sources an...
Marc Castella, Pierre Comon
NIPS
2004
13 years 8 months ago
Nonlinear Blind Source Separation by Integrating Independent Component Analysis and Slow Feature Analysis
In contrast to the equivalence of linear blind source separation and linear independent component analysis it is not possible to recover the original source signal from some unkno...
Tobias Blaschke, Laurenz Wiskott
TIP
2008
128views more  TIP 2008»
13 years 6 months ago
Blind Separation of Superimposed Shifted Images Using Parameterized Joint Diagonalization
We consider the blind separation of source images from linear mixtures thereof, involving different relative spatial shifts of the sources in each mixture. Such mixtures can be cau...
E. Be'ery, Arie Yeredor
DSP
2007
13 years 7 months ago
Variational and stochastic inference for Bayesian source separation
We tackle the general linear instantaneous model (possibly underdetermined and noisy) where we model the source prior with a Student t distribution. The conjugate-exponential char...
Ali Taylan Cemgil, Cédric Févotte, S...