Convolutive blind separation of non-stationary sources

2000 ◽  
Vol 8 (3) ◽  
pp. 320-327 ◽  
Author(s):  
L. Parra ◽  
C. Spence
Keyword(s):  
Blind Separation ◽  
Stationary Sources

Blind Separation of Quasi-Stationary Sources: Exploiting Convex Geometry in Covariance Domain

2015 ◽  
Vol 63 (9) ◽  
pp. 2306-2320 ◽  
Author(s):  
Xiao Fu ◽  
Wing-Kin Ma ◽  
Kejun Huang ◽  
Nicholas D. Sidiropoulos
Keyword(s):  
Convex Geometry ◽  
Blind Separation ◽  
Stationary Sources

Improved Natural Gradient Algorithms for Multi-Channel Signal Separation

2014 ◽  
Vol 651-653 ◽  
pp. 2326-2330
Author(s):  
Hao Cheng ◽  
Na Yu ◽  
Jun Liu
Keyword(s):  
Code Division Multiple Access ◽  
Source Separation ◽  
Direct Sequence ◽  
Blind Separation ◽  
Separation Algorithm ◽  
Channel Correlation ◽  
Gradient Algorithms ◽  
Code Division Multiple ◽  
Stationary Sources ◽  
Convergent Solution

In this paper, an Multi-channel blind separation of Direct Sequence Code Division Multiple Access (DS-CDMA) has been introduced. Most of which we assume statistically stationary sources as well as instantaneous mixtures of signals using blind source separation (BSS) algorithms. In practicality, the CDMA sources received are convolute mixing. A more complex blind separation algorithm is required to achieve better source separation. Based on the minimizing the average squared cross-output-channel-correlation, the proposed scheme obtains the better source separation. Simulation results show that the proposed optimal scheme not only achieves superior bit error rate (BER) performance to those of the existing ones, but also provides a guaranteed-convergent solution under different channel conditions.

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