• DocumentCode
    1618490
  • Title

    Exponential normalized sign algorithm for system identification

  • Author

    Jeong, Jae Jin ; Kim, Sang Woo

  • Author_Institution
    Div. of Electr. & Comput. Eng., Pohang Univ. of Sci. & Technol. (POSTECH), Pohang, South Korea
  • fYear
    2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The sign algorithm is not influenced by impulsive noise, but it exhibits slow convergence rate. Therefore, in this paper, the exponential normalized sign algorithm is proposed for system identification. The proposed algorithm is obtained from the exponential function of the L1 norm of the output error signal. The results of computer simulations proved that the convergence rate of the proposed algorithm is better than that of the sign algorithm.
  • Keywords
    adaptive filters; convergence; identification; impulse noise; L1 norm; adaptive filters; computer simulations; convergence rate; exponential function; exponential normalized sign algorithm; impulsive noise; output error signal; system identification; Algorithm design and analysis; Convergence; Noise; Signal processing algorithms; Simulation; Vectors; Adaptive filtering; Colored input singal; Impulsive noise; Outlier; Stochastic gradient method;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information, Communications and Signal Processing (ICICS) 2011 8th International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4577-0029-3
  • Type

    conf

  • DOI
    10.1109/ICICS.2011.6174219
  • Filename
    6174219
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1618490