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» Post-nonlinear Blind Source Separation Using Neural Networks...
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ISNN
2007
Springer
13 years 11 months ago
Neural-Based Separating Method for Nonlinear Mixtures
A neural-based method for source separation in nonlinear mixture is proposed in this paper. A cost function, which consists of the mutual information and partial moments of the out...
Ying Tan
ISNN
2010
Springer
13 years 9 months ago
Applications of Second Order Blind Identification to High-Density EEG-Based Brain Imaging: A Review
In the context of relating specific brain functions to specific brain structures, second-order blind identification (SOBI) is one of the blind source separation algorithms that hav...
Akaysha Tang
ISNN
2005
Springer
13 years 10 months ago
A Block-Adaptive Subspace Method Using Oblique Projections for Blind Separation of Convolutive Mixtures
This paper presents a block-adaptive subspace algorithm via oblique projection for blind source separation (BSS) problem of convolutive mixtures. In the proposed algorithm, the pro...
Chunyi Peng, Xianda Zhang, Qutang Cai
IWANN
2005
Springer
13 years 10 months ago
Filtering-Free Blind Separation of Correlated Images
Abstract. When using ICA for image separation, a well-known problem is that most often a large correlation exists between the sources. Because of this dependence, there is no more ...
Frédéric Vrins, John Aldo Lee, Miche...
ESANN
2000
13 years 6 months ago
Parametric approach to blind deconvolution of nonlinear channels
A parametric procedure for the blind inversion of nonlinear channels is proposed, based on a recent method of blind source separation in nonlinear mixtures. Experiments show that ...
Jordi Solé i Casals, Anisse Taleb, Christia...