Optimization Neural Network for Blind Signal Separation Using an Adaptive Weibull Distribution

Faculty Science Year: 2007
Type of Publication: ZU Hosted Pages: 68-74
Authors:
Khalid Mahmoud Hashim Bassiouni
Journal: Computer Science and Telecommunications Georgian Electronic Scientific Journal Volume: 11
Keywords : Optimization Neural Network , Blind Signal Separation    
Abstract:
in this paper : It is based on Weibull probability density models. A set of natural gradient blind signal separation rules is derived. This set of adaptation rules give promising results when we test sub and super Gaussian signals. Primary
    
     
 
       

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