• DocumentCode
    2053249
  • Title

    Blind signal separation using prior information

  • Author

    Zaderykhin, O. ; Shulgin, Vyacheslav

  • fYear
    2010
  • fDate
    23-27 Feb. 2010
  • Firstpage
    48
  • Lastpage
    48
  • Abstract
    This article discusses the Bayesian approach to the problem of blind signal separation. Problem of incorporating prior information into a source model was discussed in this paper. The advantage of the separation algorithm, which uses a priori information, was investigated experimentally.
  • Keywords
    belief networks; blind source separation; Bayesian approach; blind signal separation algorithm; prior information; source model; Abdomen; Adaptive algorithm; Bayesian methods; Blind source separation; Electrocardiography; Gaussian distribution; Independent component analysis; Matrices; Probability density function; Stochastic processes; Bayesian approach; abdominal ECG; blind signal separation; independent component analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Modern Problems of Radio Engineering, Telecommunications and Computer Science (TCSET), 2010 International Conference on
  • Conference_Location
    Lviv-Slavske
  • Print_ISBN
    978-966-553-875-2
  • Electronic_ISBN
    978-966-553-901-8
  • Type

    conf

  • Filename
    5446008
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2053249