• DocumentCode
    1567335
  • Title

    Improvement for Nonnegative PCA Algorithm for Independent Component Analysis

  • Author

    Li, Yunxia ; Zheng, Hong

  • Author_Institution
    Sch. of Autom. Eng., UESTC, Chengdu
  • Volume
    3
  • fYear
    2005
  • Firstpage
    2000
  • Lastpage
    2002
  • Abstract
    This paper consider the independent component analysis problem, in the case where the hidden sources are nonnegative and well-grounded. It makes improvement for nonnegative PCA algorithm by adding a term to the cost function to assure the orthonormality of the separating matrix. Simulation results illustrate its effectiveness
  • Keywords
    independent component analysis; matrix algebra; principal component analysis; demixing matrix; independent component analysis; nonnegative PCA algorithm; orthonormality; Automation; Costs; Independent component analysis; Minimization methods; Performance analysis; Principal component analysis; Probability; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks and Brain, 2005. ICNN&B '05. International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    0-7803-9422-4
  • Type

    conf

  • DOI
    10.1109/ICNNB.2005.1615016
  • Filename
    1615016
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1567335