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» Blind Source Separation of a Class of Nonlinear Mixtures
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ICA
2004
Springer
14 years 1 months ago
Non-linear ICA by Using Isometric Dimensionality Reduction
In usual ICA methods, sources are typically estimated by maximizing a measure of their statistical independence. This paper explains how to perform non-linear ICA by preprocessing ...
John Aldo Lee, Christian Jutten, Michel Verleysen
PAMI
2010
168views more  PAMI 2010»
13 years 6 months ago
Nonnegative Least-Correlated Component Analysis for Separation of Dependent Sources by Volume Maximization
—Although significant efforts have been made in developing nonnegative blind source separation techniques, accurate separation of positive yet dependent sources remains a challen...
Fa-Yu Wang, Chong-Yung Chi, Tsung-Han Chan, Yue Wa...
ICASSP
2011
IEEE
12 years 11 months ago
Multichannel harmonic and percussive component separation by joint modeling of spatial and spectral continuity
This paper considers the blind separation of the harmonic and percussive components of multichannel music signals. We model the contribution of each source to all mixture channels...
Ngoc Q. K. Duong, Hideyuki Tachibana, Emmanuel Vin...
ICPR
2010
IEEE
13 years 7 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
ICA
2007
Springer
14 years 1 months ago
Compressed Sensing and Source Separation
Abstract. Separation of underdetermined mixtures is an important problem in signal processing that has attracted a great deal of attention over the years. Prior knowledge is requir...
Thomas Blumensath, Mike E. Davies