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ICASSP
2011
IEEE
12 years 8 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
13 years 10 months ago
Postnonlinear Overcomplete Blind Source Separation Using Sparse Sources
Abstract. We present an approach for blindly decomposing an observed random vector x into f(As) where f is a diagonal function i.e. f = f1 × . . . × fm with one-dimensional funct...
Fabian J. Theis, Shun-ichi Amari
ICASSP
2008
IEEE
13 years 11 months ago
Blind separation of non-negative sources by convex analysis: Effective method using linear programming
We recently reported a criterion for blind separation of non-negative sources, using a new concept called convex analysis for mixtures of non-negative sources (CAMNS). Under some ...
Tsung-Han Chan, Wing-Kin Ma, Chong-Yung Chi, Yue W...
IJON
2008
158views more  IJON 2008»
13 years 5 months ago
An adaptive stereo basis method for convolutive blind audio source separation
We consider the problem of convolutive blind source separation of stereo mixtures. This is often tackled using frequency-domain independent component analysis (FDICA), or time-fre...
Maria G. Jafari, Emmanuel Vincent, Samer A. Abdall...
ICA
2004
Springer
13 years 10 months ago
Using Kernel PCA for Initialisation of Variational Bayesian Nonlinear Blind Source Separation Method
The variational Bayesian nonlinear blind source separation method introduced by Lappalainen and Honkela in 2000 is initialised with linear principal component analysis (PCA). Becau...
Antti Honkela, Stefan Harmeling, Leo Lundqvist, Ha...