A New Algorithm Estimating the Mixing Matrix for the Sparse Component Analysis

  • Authors:

  • Suxian Zhang;Hailin Liu;Jiechang Wen;Weili Chen

  • Affiliations:

  • -;-;-;-

  • Venue:
  • CIS '09 Proceedings of the 2009 International Conference on Computational Intelligence and Security - Volume 01
  • Year:
  • 2009

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Abstract

For the problem of Underdetermined Blind Source Separation (UBSS) under nonstrictly sparse condition, we propose a new algorithm to estimate mixing matrix. Firstly, a clustering prototype of orthogonal complement space is introduced; Secondly, a fuzzy EVD clustering method which combines fuzzy clustering and Eigenvalue Decomposition (EVD) is presented. Based on these two methods, the algorithm proposed in this paper is robust against noise without losing convergence speed.