Sciweavers

14 search results - page 2 / 3
» Neural-Based Separating Method for Nonlinear Mixtures
Sort
View
IJON
2002
105views more  IJON 2002»
13 years 4 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...
ICA
2004
Springer
13 years 10 months ago
Underdetermined Source Separation with Structured Source Priors
Abstract. We consider the source extraction problem for stereo instantaneous musical mixtures with more than two sources. We prove that usual separation methods based only on spati...
Emmanuel Vincent, Xavier Rodet
IJON
1998
87views more  IJON 1998»
13 years 4 months ago
Learned parametric mixture based ICA algorithm
The learned parametric mixture method is presented for a canonical cost function based ICA model on linear mixture, with several new findings. First, its adaptive algorithm is fu...
Lei Xu, Chi Chiu Cheung, Shun-ichi Amari
ICPR
2010
IEEE
13 years 4 months ago
Semi-blind Speech-Music Separation Using Sparsity and Continuity Priors
—In this paper we propose an approach for the problem of single channel source separation of speech and music signals. Our approach is based on representing each source’s power...
Hakan Erdogan, Emad M. Grais
ESANN
2000
13 years 6 months ago
Parametric approach to blind deconvolution of nonlinear channels
A parametric procedure for the blind inversion of nonlinear channels is proposed, based on a recent method of blind source separation in nonlinear mixtures. Experiments show that ...
Jordi Solé i Casals, Anisse Taleb, Christia...