• DocumentCode
    3432270
  • Title

    Improvement of the stability of the normalized LMS method under noisy environment

  • Author

    Takagi, Tatsuya ; Takumi, Lchi ; Hata, Masayasu

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Nagoya Inst. of Technol., Japan
  • fYear
    1992
  • fDate
    16-20 Nov 1992
  • Firstpage
    1186
  • Abstract
    On the learning identification algorithm the value of echo return loss enhancement (ERLE) after saturation fluctuates for colored input signal under noisy environment. This paper proposes to improve the stability of ERLE by controlling the relaxation factor α, using the norm ||x&oarr;(j)||2 of input signal x&oarr;(j)
  • Keywords
    digital filters; echo suppression; learning systems; least squares approximations; relaxation theory; stability; echo return loss enhancement; learning identification algorithm; noisy environment; normalized LMS method; relaxation factor; stability; Adaptive algorithm; Computer simulation; Echo cancellers; Gaussian noise; Least squares approximation; Noise cancellation; Signal to noise ratio; Stability; Telephony; Working environment noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Singapore ICCS/ISITA '92. 'Communications on the Move'
  • Print_ISBN
    0-7803-0803-4
  • Type

    conf

  • DOI
    10.1109/ICCS.1992.255074
  • Filename
    255074
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3432270