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ICASSP
2010
IEEE
13 years 6 months ago
A new method for kurtosis maximization and source separation
This paper introduces a new method to maximize kurtosisbased contrast functions. Such contrast functions appear in the problem of blind source separation of convolutively mixed so...
Marc Castella, Eric Moreau
ISNN
2005
Springer
13 years 11 months ago
Post-nonlinear Blind Source Separation Using Neural Networks with Sandwiched Structure
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...
Chunhou Zheng, Deshuang Huang, Zhan-Li Sun, Li Sha...
ESANN
2007
13 years 7 months ago
Markovian blind separation of non-stationary temporally correlated sources
In a previous work, we developed a quasi-efficient maximum likelihood approach for blindly separating stationary, temporally correlated sources modeled by Markov processes. In this...
Rima Guidara, Shahram Hosseini, Yannick Deville
FSS
2006
114views more  FSS 2006»
13 years 6 months ago
Fuzzy logic based variable step size algorithm for blind delayed source separation
Convergence of blind delayed source separation algorithms, which use constant learning rates, is known to be slow. We propose a fuzzy logic based approach to adaptively select the...
Vivek Nigam, Roland Priemer
IJON
2008
158views more  IJON 2008»
13 years 6 months ago
Blind separation of convolutive image mixtures
Convolutive mixtures of images are common in photography of semi-reflections. They also occur in microscopy and tomography. Their formation process involves focusing on an object ...
Sarit Shwartz, Yoav Y. Schechner, Michael Zibulevs...