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ESANN
2004
15 years 4 days ago
Separability of analytic postnonlinear blind source separation with bounded sources
The aim of blind source separation (BSS) is to transform a mixed random vector such that the original sources are recovered. If the sources are assumed to be statistically independ...
Fabian J. Theis, Peter Gruber
ESANN
2004
15 years 4 days ago
Linearization identification and an application to BSS using a SOM
The one-dimensional functional equation g(y(t)) = cg(z(t)) with known functions y and z and constant c is considered. The indeterminacies are calculated, and an algorithm for appro...
Fabian J. Theis, Elmar Wolfgang Lang
ICA
2004
Springer
15 years 4 months ago
Postnonlinear Overcomplete Blind Source Separation Using Sparse Sources
Abstract. We present an approach for blindly decomposing an observed random vector x into f(As) where f is a diagonal function i.e. f = f1 × . . . × fm with one-dimensional funct...
Fabian J. Theis, Shun-ichi Amari
ISNN
2005
Springer
15 years 4 months ago
Post-nonlinear Blind Source Separation Using Neural Networks with Sandwiched Structure
Abstract. This paper proposes a novel algorithm based on informax for postnonlinear blind source separation. The demixing system culminates to a neural network with sandwiched stru...
Chunhou Zheng, Deshuang Huang, Zhan-Li Sun, Li Sha...
NECO
2007
93views more  NECO 2007»
14 years 10 months ago
MISEP Method for Postnonlinear Blind Source Separation
Chun-Hou Zheng, De-Shuang Huang, Kang Li, George W...