14 search results - page 1 / 3 » Post-nonlinear Blind Source Separation Using Neural Networks... |
ISNN
2005
Springer
13 years 9 months ago
2005
Springer
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...
ESANN
2003
13 years 5 months ago
2003
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...
EAAI
2006
13 years 4 months ago
2006
This contribution describes a neural network that self-organizes to recover the underlying original sources from typical sensor signals. No particular information is required abou...
ISNN
2005
Springer
13 years 9 months ago
2005
Springer
This paper presents a learning framework for blind source separation (BSS), in which the BSS is formulated as generalized Eigenvalue (GE) problem. Compared to the typical informati...
IJCNN
2000
IEEE
13 years 8 months ago
2000
IEEE
In Jutten’s blind separation algorithm, symmetrical distribution and statistical independence of the signal sources are assumed. When they are not satisfied, the learning proce...