• DocumentCode
    538924
  • Title

    Dependence of Bivariate Signals in ICA Problem

  • Author

    Changguo, Li ; Wenli, Suo

  • Author_Institution
    Dept. of Basic Sci., Mil. Transp. Univ., Tianjin, China
  • Volume
    2
  • fYear
    2010
  • fDate
    16-17 Dec. 2010
  • Firstpage
    292
  • Lastpage
    295
  • Abstract
    A new dependence measure of random variables is proposed as the contrast function of two dimensional ICA. By simulted annealing algorithm, variety of mixture of signals including subgaussian and supergaussian can be separated.
  • Keywords
    blind source separation; independent component analysis; simulated annealing; bivariate signal dependence; simulated annealing algorithm; subGaussian signal; superGaussian signal; two dimensional ICA problem; Approximation methods; Correlation; Covariance matrix; Gaussian distribution; Independent component analysis; Mutual information; Random variables; Chi-square statistic; Correlation; Dependence;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems (GCIS), 2010 Second WRI Global Congress on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-9247-3
  • Type

    conf

  • DOI
    10.1109/GCIS.2010.270
  • Filename
    5709271
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=538924