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
    
     
 
       

Author Related Publications

  • Khalid Mahmoud Hashim Bassiouni, "Generalized Laplace Function In Image Compression", Wulfenia Journal KLAGENFURT, AUSTRIA, 2013 More
  • Khalid Mahmoud Hashim Bassiouni, "A Computational Technique for Solving Three-Dimensional Mixed Volterra–Fredholm Integral Equations", MPDI, 2023 More

Department Related Publications

  • Amr Mohamed Samy Mohammed Mahdi , "Numerical Study for the Fractional Differential Equations Generated by Optimization Problem Using Chebyshev Collocation Method and FDM", Natural Sciences Publishing, USA LLC (NSP), 2013 More
  • Rodyna Ahmed Mahmoud, "Types of Generalized Open Sets with Ideal", FCS® (Foundation of Computer Science, 2013 More
  • Rodyna Ahmed Mahmoud, "Some types of compactness via ideal", Research Publication IJSER, 2013 More
  • Nagla Ameen Mohamed Hssan, "Analysis of multi-level queueing systems with servers breakdown by using recursive solution technique", Published by Elsevier Inc, 2012 More
  • Usama Abdelhamid Ibrahim, "Convergence of Intuionistic Fuzzy Filters in Syntopogenous Intuionisticfuzzy Strctures", Marsland press, 2013 More
Tweet