• DocumentCode
    1807604
  • Title

    Adaptive noise cancelling with systolic arrays

  • Author

    Kshonze, Kristopher ; Steenaart, Willem

  • Author_Institution
    Dept. of Electr. Eng., Ottawa Univ., Ont., Canada
  • fYear
    1988
  • fDate
    7-9 June 1988
  • Firstpage
    515
  • Abstract
    The QR decomposition with systolic array realization is compared to the LMS algorithm. The LMS algorithm proves to be less complex, very efficient under finite precision, and compatible in terms of speed (it can achieve the same speed at signal-to-noise ratio expense). In terms of misadjustment the LMS always produces self noise, whereas the QR decomposition with systolic array can give an optimum solution.<>
  • Keywords
    adaptive filters; cellular arrays; interference suppression; LMS algorithm; QR decomposition; optimum solution; self noise; signal-to-noise ratio; systolic arrays; Adaptive filters; Eigenvalues and eigenfunctions; Equations; Least squares approximation; Least squares methods; Matrix decomposition; Noise cancellation; Open loop systems; Signal to noise ratio; Systolic arrays;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 1988., IEEE International Symposium on
  • Conference_Location
    Espoo, Finland
  • Type

    conf

  • DOI
    10.1109/ISCAS.1988.14977
  • Filename
    14977
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1807604