122 search results - page 20 / 25 » Blind Source Separation of a Class of Nonlinear Mixtures |
TASLP
2010
13 years 2 months ago
2010
Abstract--Independent vector analysis (IVA) is a method for separating convolutedly mixed signals that significantly reduces the occurrence of the well-known permutation problem in...
IJON
2006
13 years 7 months ago
2006
Equivariant Adaptive Separation via Independence (EASI) is one of the most successful algorithms for Blind Source Separation (BSS). However, the user has to choose nonlinearities,...
ICCV
1999
IEEE
14 years 9 months ago
1999
IEEE
The technique of independent component analysis (ICA) is applied for texture feature detection. In ICA an optimal transformation (with respect to the statistical structure of the i...
ESANN
2006
13 years 9 months ago
2006
Independent Component Analysis (ICA) is a powerful tool with applications in many areas of blind signal processing; however, its key assumption, i.e. the statistical independence o...
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
Nonlinear ICA may not result in nonlinear blind source separation, since solutions to nonlinear ICA are highly non-unique. In practice, the nonlinearity in the data generation pro...