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» Blind Source Separation of a Class of Nonlinear Mixtures
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SIGPRO
2002
91views more  SIGPRO 2002»
14 years 11 months ago
Comparison of maximum entropy and minimal mutual information in a nonlinear setting
In blind source separation (BSS), two di erent separation techniques are mainly used: minimal mutual information (MMI), where minimization of the mutual output information yields ...
Fabian J. Theis, Christoph Bauer, Elmar Wolfgang L...
98
Voted
ICA
2004
Springer
15 years 5 months ago
Second-Order Blind Source Separation Based on Multi-dimensional Autocovariances
SOBI is a blind source separation algorithm based on time decorrelation. It uses multiple time autocovariance matrices, and performs joint diagonalization thus being more robust th...
Fabian J. Theis, Anke Meyer-Bäse, Elmar Wolfg...
ICASSP
2008
IEEE
15 years 6 months ago
Singer melody extraction in polyphonic signals using source separation methods
We propose a new approach for singer melody extraction, based on blind source separation techniques. The short time Fourier transform (STFT) of the singer signal is modelled by a ...
Jean-Louis Durrieu, Gaël Richard, Bertrand Da...
91
Voted
ICA
2007
Springer
15 years 6 months ago
Signal Separation by Integrating Adaptive Beamforming with Blind Deconvolution
In this paper, we present a broadband two-microphone blind spatial separation technique by efficiently combining adaptive beamforming (ABF) with multichannel blind deconvolution (M...
Kostas Kokkinakis, Philipos C. Loizou
IJON
2002
105views more  IJON 2002»
14 years 11 months ago
Separation of sources using simulated annealing and competitive learning
This paper presents a new adaptive procedure for the linear and non-linear separation of signals with non-uniform, symmetrical probability distributions, based on both simulated a...
Carlos García Puntonet, Ali Mansour, Christ...