• DocumentCode
    2207360
  • Title

    A variable step size algorithm using normalized absolute estimation error

  • Author

    Kim, Dong-Wook ; Kang, Han-Bit ; Eun, Myoung-Su ; Choi, Jong-Soo

  • Author_Institution
    Dept. of Electron. Eng., Chungang Univ., Seoul, South Korea
  • Volume
    2
  • fYear
    1995
  • fDate
    13-16 Aug 1995
  • Firstpage
    979
  • Abstract
    Variable step size LMS (VS-LMS) algorithms improve performance of LMS algorithm by means of varying the step size. This paper presents a new VS-LMS algorithm using normalized absolute estimation error. The performance of the proposed algorithm is analyzed theoretically and estimated through simulations. Based on the theoretical analysis and computer simulations, the proposed algorithm is shown to be effective compared to conventional VS-LMS algorithms
  • Keywords
    adaptive signal processing; convergence of numerical methods; errors; least mean squares methods; LMS algorithm; normalized absolute estimation error; variable step size algorithm; Adaptive filters; Algorithm design and analysis; Computational modeling; Convergence; Estimation error; Estimation theory; Least squares approximation; Performance analysis; Signal processing algorithms; Size control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 1995., Proceedings., Proceedings of the 38th Midwest Symposium on
  • Conference_Location
    Rio de Janeiro
  • Print_ISBN
    0-7803-2972-4
  • Type

    conf

  • DOI
    10.1109/MWSCAS.1995.510255
  • Filename
    510255
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2207360