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ESANN
2006
13 years 8 months ago
Discriminacy of the minimum range approach to blind separation of bounded sources
The Blind Source Separation (BSS) problem is often solved by maximizing objective functions reflecting the statistical dependency between outputs. Since global maximization may be ...
Dinh-Tuan Pham, Frédéric Vrins
IDA
2009
Springer
14 years 2 months ago
Estimating Phase Linearity in the Frequency-Domain ICA Demixing Matrix
We consider a method for solving the permutation problem in blind source separation (BSS) by the frequency-domain independent component analysis (FD-ICA) by using phase linearity o...
Keisuke Toyama, Mark D. Plumbley
ICASSP
2011
IEEE
12 years 11 months ago
Blind separation of multiple binary sources from one nonlinear mixture
We propose a new method for the blind separation of multiple binary signals from a single general nonlinear mixture. In addition to the usual independence assumption on the input ...
Konstantinos I. Diamantaras, Theophilos Papadimitr...
TIP
2008
128views more  TIP 2008»
13 years 7 months ago
Blind Separation of Superimposed Shifted Images Using Parameterized Joint Diagonalization
We consider the blind separation of source images from linear mixtures thereof, involving different relative spatial shifts of the sources in each mixture. Such mixtures can be cau...
E. Be'ery, Arie Yeredor
IJON
2007
100views more  IJON 2007»
13 years 7 months ago
Minimum range approach to blind partial simultaneous separation of bounded sources: Contrast and discriminacy properties
The blind source separation (BSS) problem is often solved by maximizing objective functions reflecting the statistical independence between outputs. Since global maximization may...
Frédéric Vrins, Dinh-Tuan Pham