• DocumentCode
    3573218
  • Title

    Stability analysis of blind signals separation algorithms

  • Author

    Chen, Tianping ; Lu, Wenlian

  • Author_Institution
    Lab of Nonlinear Math. Sci., Furan Univ., Shanghai, China
  • Volume
    1
  • fYear
    2003
  • Firstpage
    738
  • Abstract
    Blind source separation (BSS)/ independent component analysis (ICA) is an emerging research field in both theory and applications. It has been motivated by practical applications that involve multiple source signals and observation sensors and share a common objective, that is to separate source signals and estimate channel parameters without knowing the characteristics of the transmission channel. In this paper, we propose an algorithm, analyze its dynamical behaviors and answer the problem whether the resulting signals are the source signals.
  • Keywords
    blind source separation; channel estimation; independent component analysis; signal sources; stability; blind signal separation algorithm; channel parameter estimation; dynamical behaviors; independent component analysis; multiple source signals; observation sensors; stability analysis; transmission channel; Algorithm design and analysis; Blind source separation; Cost function; Independent component analysis; Neural networks; Parameter estimation; Sensor phenomena and characterization; Signal analysis; Source separation; Stability analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 2003. Proceedings of the International Joint Conference on
  • ISSN
    1098-7576
  • Print_ISBN
    0-7803-7898-9
  • Type

    conf

  • DOI
    10.1109/IJCNN.2003.1223465
  • Filename
    1223465