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ICASSP
2011
IEEE
12 years 11 months ago
Distributed blind source separation with an application to audio signals
A scalable blind source separation paradigm aimed at sensor networks is described. The approach facilitates an unlimited number of sensors and sources and does not require a fusio...
Yusuke Hioka, W. Bastiaan Kleijn
ICA
2004
Springer
14 years 1 months ago
ICA Using Kernel Entropy Estimation with NlogN Complexity
Abstract. Mutual information (MI) is a common criterion in independent component analysis (ICA) optimization. MI is derived from probability density functions (PDF). There are scen...
Sarit Shwartz, Michael Zibulevsky, Yoav Y. Schechn...
ICA
2012
Springer
12 years 3 months ago
Distributional Convergence of Subspace Estimates in FastICA: A Bootstrap Study
Independent component analysis (ICA) is possibly the most widespread approach to solve the blind source separation (BSS) problem. Many different algorithms have been proposed, tog...
Jarkko Ylipaavalniemi, Nima Reyhani, Ricardo Vig&a...
IJCNN
2008
IEEE
14 years 2 months ago
Unsupervised learning of dependencies between local luminance and contrast in natural images
Abstract— Separate processing of local luminance and contrast in biological visual systems has been argued to be due to the independence of these two properties in natural image ...
Jussi T. Lindgren, Jarmo Hurri, Aapo Hyvärine...
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