• DocumentCode
    349079
  • Title

    Combined adaptive system for identification of unknown systems with varying parameters in a noisy environment

  • Author

    Krstajic, Bozo ; Stankovic, Ljubisa ; Uskokovic, Zdravko ; Djurovic, Igor

  • Author_Institution
    Dept. of Electr. Eng., Montenegro Univ., Yugoslavia
  • Volume
    2
  • fYear
    1999
  • fDate
    5-8 Sep 1999
  • Firstpage
    745
  • Abstract
    This paper proposed an combined adaptive system for identification of unknown systems with varying parameters in a noisy environment. The paper presented comparative analysis of the proposed algorithm, LMS and GLMS algorithms, used in this identification. The presented comparative results of the considered adaptive systems verify the advantage of the proposed algorithm
  • Keywords
    Gaussian noise; adaptive filters; adaptive signal processing; identification; least mean squares methods; uncertain systems; GLMS algorithm; LMS algorithm; combined LMS/GLMS algorithm; combined adaptive system; noisy environment; unknown system identification; varying parameters; Adaptive algorithm; Adaptive systems; Algorithm design and analysis; Communication system control; Control systems; Gaussian noise; Least squares approximation; Process control; Signal processing algorithms; Working environment noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics, Circuits and Systems, 1999. Proceedings of ICECS '99. The 6th IEEE International Conference on
  • Conference_Location
    Pafos
  • Print_ISBN
    0-7803-5682-9
  • Type

    conf

  • DOI
    10.1109/ICECS.1999.813216
  • Filename
    813216