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TASLP
2011
14 years 4 months ago
Underdetermined Convolutive Blind Source Separation via Frequency Bin-Wise Clustering and Permutation Alignment
—This paper presents a blind source separation method for convolutive mixtures of speech/audio sources. The method can even be applied to an underdetermined case where there are ...
Hiroshi Sawada, Shoko Araki, Shoji Makino
NIPS
2003
14 years 10 months ago
Sparse Representation and Its Applications in Blind Source Separation
In this paper, sparse representation (factorization) of a data matrix is first discussed. An overcomplete basis matrix is estimated by using the K−means method. We have proved ...
Yuanqing Li, Andrzej Cichocki, Shun-ichi Amari, Se...
CORR
2006
Springer
105views Education» more  CORR 2006»
14 years 9 months ago
Mixing and non-mixing local minima of the entropy contrast for blind source separation
In this paper, both non-mixing and mixing local minima of the entropy are analyzed from the viewpoint of blind source separation (BSS); they correspond respectively to acceptable a...
Frédéric Vrins, Dinh-Tuan Pham, Mich...
104
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ICA
2004
Springer
15 years 2 months ago
Blind Separation of Nonstationary Sources by Spectral Decorrelation
Abstract. This paper demonstrates and exploits some interesting frequency-domain properties of nonstationary signals. Considering these properties, two new methods for blind separa...
Shahram Hosseini, Yannick Deville
ICA
2004
Springer
15 years 2 months ago
Independent Slow Feature Analysis and Nonlinear Blind Source Separation
We present independent slow feature analysis as a new method for nonlinear blind source separation. It circumvents the indeterminacy of nonlinear independent component analysis by ...
Tobias Blaschke, Laurenz Wiskott