Sciweavers

120 search results - page 1 / 24
» MISEP Method for Postnonlinear Blind Source Separation
Sort
View
79
Voted
NECO
2007
93views more  NECO 2007»
15 years 5 days ago
MISEP Method for Postnonlinear Blind Source Separation
Chun-Hou Zheng, De-Shuang Huang, Kang Li, George W...
107
Voted
ISNN
2005
Springer
15 years 6 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...
140
Voted
DSP
2007
15 years 19 days 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...
104
Voted
ESANN
2004
15 years 2 months 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
103
Voted
ICA
2004
Springer
15 years 6 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