• DocumentCode
    851731
  • Title

    A systolic array for recursive least squares computations

  • Author

    Moonen, Marc ; Vandewalle, Joos

  • Author_Institution
    ESAT, Katholieke Univ., Leuven, Belgium
  • Volume
    41
  • Issue
    2
  • fYear
    1993
  • fDate
    2/1/1993 12:00:00 AM
  • Firstpage
    906
  • Lastpage
    912
  • Abstract
    A triangular processor array has been developed for implementing recursive-least-squares computations. The throughput is O(n 0), which means that data vectors are fed in at a rate that is independent of the problem size. The corresponding least-squares solutions then run out of the array at the same rate. The overall efficiency is roughly 67%. This array is believed to be the first to implement a complete RLS algorithm in a stable and efficient manner
  • Keywords
    least squares approximations; signal processing; systolic arrays; 67 percent; RLS algorithm; recursive least squares computations; signal processing; systolic array; triangular processor array; Concurrent computing; Covariance matrix; Helium; Least squares methods; Mathematics; Parallel architectures; Pipeline processing; Resonance light scattering; Systolic arrays; Throughput;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/78.193226
  • Filename
    193226
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=851731