• DocumentCode
    2414070
  • Title

    ICA by Maximization of Nongaussianity using Complex Functions

  • Author

    Novey, Michael ; Adali, Tülay

  • Author_Institution
    Maryland Univ., Baltimore, MD
  • fYear
    2005
  • fDate
    28-28 Sept. 2005
  • Firstpage
    21
  • Lastpage
    26
  • Abstract
    We use complex, hence analytic, functions to achieve independent component analysis (ICA) by maximization of nonGaussianity and introduce the complex maximization of nonGaussianity (CMN) algorithm. We show that CMN converges to the principal component of the source distribution and that the algorithm provides robust performance for both circular and non-circular sources
  • Keywords
    independent component analysis; optimisation; principal component analysis; source separation; ICA; complex functions; independent component analysis; nonGaussianity maximization; principal component analysis; source distribution; source separation; Algorithm design and analysis; Covariance matrix; Independent component analysis; Magnetic resonance imaging; Radar applications; Radar imaging; Random variables; Robustness; Vectors; Wireless communication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning for Signal Processing, 2005 IEEE Workshop on
  • Conference_Location
    Mystic, CT
  • Print_ISBN
    0-7803-9517-4
  • Type

    conf

  • DOI
    10.1109/MLSP.2005.1532868
  • Filename
    1532868
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2414070