scholarly journals New Negentropy Optimization Schemes for Blind Signal Extraction of Complex Valued Sources

2015 ◽  
Vol 24 (1) ◽  
pp. 262-271
Author(s):  
P. C. Xu ◽  
Y. H. Shen ◽  
H. Li
Keyword(s):  
Signal Extraction ◽  
Blind Signal ◽  
Optimization Schemes ◽  
Blind Signal Extraction ◽  
Complex Valued

Cyclic maximization of non-Gaussianity for blind signal extraction of complex-valued sources

2011 ◽  
Vol 74 (17) ◽  
pp. 2867-2873 ◽  
Author(s):  
Iván Durán-Díaz ◽  
Sergio Cruces ◽  
María Auxiliadora Sarmiento-Vega ◽  
Pablo Aguilera-Bonet
Keyword(s):  
Signal Extraction ◽  
Blind Signal ◽  
Blind Signal Extraction ◽  
Complex Valued

Research on Blind Signal Extraction Based on Normalized Kurtosis

2014 ◽  
Vol 989-994 ◽  
pp. 3609-3612
Author(s):  
Yong Jian Zhao
Keyword(s):  
Biomedical Applications ◽  
Prior Information ◽  
Signal Extraction ◽  
Promising Technique ◽  
Blind Source Extraction ◽  
Blind Signal ◽  
Source Signal ◽  
Blind Signal Extraction ◽  
Source Signals ◽  
Source Extraction

Blind source extraction (BSE) is a promising technique to solve signal mixture problems while only one or a few source signals are desired. In biomedical applications, one often knows certain prior information about a desired source signal in advance. In this paper, we explore specific prior information as a constrained condition so as to develop a flexible BSE algorithm. One can extract a desired source signal while its normalized kurtosis range is known in advance. Computer simulations on biomedical signals confirm the validity of the proposed algorithm.

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