• DocumentCode
    705890
  • Title

    Modified leaky delayed LMS algorithm for imperfect estimate system delay

  • Author

    Lopez, Juan R. V. ; Tobias, Orlando J. ; Seara, Rui

  • Author_Institution
    Dept. of Electr. Eng., Fed. Univ. of Santa Catarina, Florianópolis, Brazil
  • fYear
    2007
  • fDate
    3-7 Sept. 2007
  • Firstpage
    365
  • Lastpage
    369
  • Abstract
    This paper proposes a modified leaky delayed least-mean-square (MLDLMS) algorithm, aiming to circumvent algorithm instability problems under imperfect system delay estimates. In addition, a model for the first and second moments of the algorithm is proposed. Such a model is obtained without invoking the independence theory and considering a slow adaptation condition. Numerical simulations corroborate the very good agreement between the results obtained with the Monte Carlo method and those from the proposed model for colored Gaussian inputs.
  • Keywords
    Gaussian processes; Monte Carlo methods; least mean squares methods; MLDLMS; Monte Carlo method; algorithm first moments; algorithm instability problems; algorithm second moment; colored Gaussian inputs; imperfect estimate system delay; modified leaky delayed LMS algorithm; modified leaky delayed least-mean-square algorithm; slow adaptation condition; Adaptation models; Delays; Least squares approximations; Numerical models; Prediction algorithms; Signal processing algorithms; Standards;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Conference, 2007 15th European
  • Conference_Location
    Poznan
  • Print_ISBN
    978-839-2134-04-6
  • Type

    conf

  • Filename
    7098826