• DocumentCode
    2633115
  • Title

    Improved Minimum-Range Approach to Blind Extraction of Bounded Sources

  • Author

    Zhou, Guoxu ; Zhao, Min

  • Author_Institution
    Sch. of Electron. & Inf. Eng., South China Univ. of Technol., Guangzhou
  • fYear
    2008
  • fDate
    18-20 June 2008
  • Firstpage
    96
  • Lastpage
    96
  • Abstract
    Although minimum-range approach to blind extraction is proved reliable in theory, it has disadvantages in its optimization algorithm. A new optimization algorithm is proposed by this article. Compared with the original algorithm, the new algorithm needs no parameters, guarantees fast and reliable convergence. Simulations illustrate the efficiencies of the proposed algorithm.
  • Keywords
    blind source separation; optimisation; blind extraction; bounded sources; improved minimum-range approach; optimization algorithm; Convergence; Data mining; Independent component analysis; Reliability engineering; Reliability theory; Scattering; Solid modeling; Source separation; Statistics; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Computing Information and Control, 2008. ICICIC '08. 3rd International Conference on
  • Conference_Location
    Dalian, Liaoning
  • Print_ISBN
    978-0-7695-3161-8
  • Electronic_ISBN
    978-0-7695-3161-8
  • Type

    conf

  • DOI
    10.1109/ICICIC.2008.315
  • Filename
    4603285
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2633115