• DocumentCode
    1323474
  • Title

    Highly parallel architecture for the least mean squares (LMS) algorithm

  • Author

    Lapointe, M. ; Huu Tue Huynh ; Fortier, Paul

  • Author_Institution
    Dept. de Genie Electr., Fac. des Sci. et de Genie, Laval Univ., Que., Canada
  • Volume
    16
  • Issue
    3
  • fYear
    1991
  • fDate
    7/1/1991 12:00:00 AM
  • Firstpage
    93
  • Lastpage
    104
  • Abstract
    A fast digital implementation for the least mean squares algorithm is proposed. The high concurrency of its structure allows for high processing speed with a sampling period of O(log N), where N is the number of filter taps. Chip area is minimized by the use of serial-parallel multipliers. In these multipliers, which use redundant arithmetic, the serial variables are transferred digit by digit, the most significant first.
  • Keywords
    computerised signal processing; digital filters; least squares approximations; mathematics computing; parallel architectures; LMS; chip area minimization; fast digital implementation; filter taps; high processing speed; highly parallel architecture; least mean squares algorithm; redundant arithmetic; sampling period; serial-parallel multipliers; signal processing; Convergence; Convolution; Gold; Least squares approximations; Multiplexing; Pipelines; Signal processing algorithms;
  • fLanguage
    English
  • Journal_Title
    Electrical and Computer Engineering, Canadian Journal of
  • Publisher
    ieee
  • ISSN
    0840-8688
  • Type

    jour

  • DOI
    10.1109/CJECE.1991.6592939
  • Filename
    6592939