32 search results - page 2 / 7 » Postnonlinear Overcomplete Blind Source Separation Using Spa... |
132
Voted
ESANN
2004
15 years 3 months ago
2004
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...
158
Voted
ICASSP
2009
IEEE
15 years 3 days ago
2009
IEEE
In this paper, we propose a novel sparse source separation method that can be applied even if the number of sources is unknown. Recently, many sparse source separation approaches ...
144
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ICA
2007
Springer
15 years 8 months ago
2007
Springer
This paper describes a new blind source separation method for instantaneous linear mixtures. This new method coined GMCA (Generalized Morphological Component Analysis) relies on mo...
184
Voted
DSP
2007
15 years 2 months ago
2007
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...
137
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TASLP
2010
14 years 9 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...