Blind separation of instantaneous mixtures of nonstationary sources

2001 ◽  
Vol 49 (9) ◽  
pp. 1837-1848 ◽  
Author(s):  
Dinh-Tuan Pham ◽  
J.-F. Cardoso
Keyword(s):  
Blind Separation ◽  
Nonstationary Sources

Blind Separation of Nonstationary Sources

2004 ◽  
Vol 11 (7) ◽  
pp. 605-608 ◽  
Author(s):  
A. Belouchrani ◽  
K. Abed-Meraim ◽  
M.G. Amin ◽  
A.M. Zoubir
Keyword(s):  
Blind Separation ◽  
Nonstationary Sources

A new method for blind separation of nonstationary sources

2014 ◽  
Vol 22 (12) ◽  
pp. 2873-2884 ◽  
Author(s):  
Jie Zhang ◽  
Hongli Gao ◽  
Pan Fu
Keyword(s):  
New Method ◽  
Blind Separation ◽  
Nonstationary Sources

scholarly journals Blind separation using second order statistics for non-stationary signals

2010 ◽  
Vol 7 (1) ◽  
pp. 163-176
Author(s):  
Jun Du ◽  
Ju Liu ◽  
Shengju Sang ◽  
Jun Wang
Keyword(s):  
Order Statistics ◽  
Blind Source Separation ◽  
Microphone Array ◽  
Source Separation ◽  
Second Order ◽  
Blind Separation ◽  
Signal Model ◽  
Second Order Statistics ◽  
Stationary Signals ◽  
Nonstationary Sources

In the signal processing area, blind source separation (BSS) is a method aiming to recover independent sources from their linear instantaneous mixtures without resorting to any prior knowledge, such as mixing matrices and sources. There have been increased attentions given to blind source separation in many areas, including wireless communication, biomedical imaging processing, multi-microphone array processing, and so on in recent years. In this paper, we propose a new simple BSS technique that exploits second order statistics for nonstationary sources. Our technique utilizes the algebraic structure of the signal model and the subspace structures so as to efficiently recover sources with interference of noise. Computer simulations have demonstrated that, in comparison with other existent methods, our method has better performance in the regimes of low and medium SNRs. For high SNRs, our method is not as promising methods such as the method called AC ('alternating columns')-DC ('diagonal centers') algorithm, but it gives reasonable performance. <br><br><font color="red"><b> This article has been retracted. Link to the retraction <u><a href="http://dx.doi.org/10.2298/CSIS1004005U">10.2298/CSIS1004005U</a></u></b></font>

Blind separation of nonstationary sources in noisy mixtures

2000 ◽  
Vol 36 (9) ◽  
pp. 848 ◽  
Author(s):  
S. Choi ◽  
A. Cichocki
Keyword(s):  
Blind Separation ◽  
Nonstationary Sources

A Riemannian approach to blind separation of t-distributed sources

2021 ◽  
Author(s):  
Florent Bouchard ◽  
Arnaud Breloy ◽  
Guillaume Ginolhac ◽  
Alexandre Renaux
Keyword(s):  
Blind Separation
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