120 search results - page 11 / 24 » MISEP Method for Postnonlinear Blind Source Separation |
ICIP
2005
IEEE
14 years 1 months ago
2005
IEEE
This paper deals with the problem of blind source separation in fMRI data analysis. Our main contribution is to present a maximum likelihood based method to blindly separate the b...
NIPS
2003
13 years 9 months ago
2003
In this paper, sparse representation (factorization) of a data matrix is first discussed. An overcomplete basis matrix is estimated by using the K−means method. We have proved ...
ICA
2004
Springer
14 years 1 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 ...
IJON
2006
13 years 7 months ago
2006
In this paper we revisit a classic HOS-based BSS criterion, namely the maximization of the higher-order moments of the estimated sources. The main contributions of this paper are:...
IJCNN
2000
IEEE
13 years 12 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...