DocumentCode :
766923
Title :
An instantaneous formulation of mixtures for blind separation of propagating waves
Author :
Chabriel, Gilles ; Barrère, Jean
Author_Institution :
STIC-Toulon/GESSY, Univ. du Sud Toulon-Var, La Garde, France
Volume :
54
Issue :
1
fYear :
2006
Firstpage :
49
Lastpage :
58
Abstract :
This paper deals with the modeling and the identification of mixtures of multiple propagating waves recorded by a compact set of sensors. These mixtures, depending on attenuation coefficients and propagating delays, are represented as instantaneous mixtures of different temporal derivatives of sources generating the waves. These derivatives act as new dependent sources, and the instantaneous mixtures are not directly identifiable. It is shown that separation can be achieved by a second-order statistical analysis of the recordings, when a sufficient number of sensors is available. The validity of this approach is illustrated by numerical simulations for mixtures of three audio sources. The results point out good performances (up to -30 dB of remaining crosstalk). Experimental validation of the theoretical model is also presented in the case of a two-source separation with an eight-microphone array.
Keywords :
audio signal processing; blind source separation; microphone arrays; statistical analysis; wave propagation; attenuation coefficients; blind separation; eight-microphone array; instantaneous mixtures formulation; second-order statistical analysis; source separation; wave propagation; Attenuation; Audio recording; Bandwidth; Crosstalk; Numerical simulation; Principal component analysis; Propagation delay; Sensor arrays; Source separation; Statistical analysis; Convolutive mixtures; instantaneous linear mixtures; mixture modeling; principal component analysis; second-order statistics; source separation;
fLanguage :
English
Journal_Title :
Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1053-587X
Type :
jour
DOI :
10.1109/TSP.2005.861100
Filename :
1561574
Link To Document :
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