126 search results - page 1 / 26 » Semi-Blind Approaches for Source Separation and Independent ... |
ESANN
2006
13 years 5 months ago
2006
Abstract. This paper is a survey of semi-blind source separation approaches. Since Gaussian iid signals are not separable, simplest priors suggest to assume non Gaussian iid signal...
NN
2000
Springer
13 years 4 months ago
2000
Springer
ICA (independent component analysis) is a new, simple and powerful idea for analyzing multi-variant data. One of the successful applications is neurobiological data analysis such ...
NIPS
2004
13 years 5 months ago
2004
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...
ICASSP
2010
IEEE
13 years 3 months ago
2010
IEEE
Independent component analysis (ICA) has been successfully applied for the analysis of functional magnetic resonance imaging (fMRI) data. However, independence might be too strong...
ICA
2004
Springer
13 years 10 months ago
2004
Springer
We present independent slow feature analysis as a new method for nonlinear blind source separation. It circumvents the indeterminacy of nonlinear independent component analysis by ...