• DocumentCode
    1160530
  • Title

    A new convergence factor for adaptive filters

  • Author

    Karni, Shlomo ; Zeng, Gengsheng

  • Author_Institution
    Dept. of Electr. & Comput. Eng., New Mexico Univ., Albuquerque, NM, USA
  • Volume
    36
  • Issue
    7
  • fYear
    1989
  • fDate
    7/1/1989 12:00:00 AM
  • Firstpage
    1011
  • Lastpage
    1012
  • Abstract
    It is proposed that the convergence factor μ in the adaptive filter can be made time-varying according to the gradient of the performance surface. Computer simulations show that when a suitable damping parameter, α, is used, the algorithm possesses a fast convergence rate and yields very small misadjustment. The algorithm works well under nonstationary environments, in sharp contrast with the two-stage method
  • Keywords
    adaptive filters; convergence; filtering and prediction theory; adaptive filters; convergence factor; convergence rate; damping parameter; gradient; nonstationary environments; performance surface; time-varying; Adaptive filters; Circuits and systems; Convergence; Damping; Equations; Least squares approximation; Stability; Vectors;
  • fLanguage
    English
  • Journal_Title
    Circuits and Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0098-4094
  • Type

    jour

  • DOI
    10.1109/31.31337
  • Filename
    31337
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1160530