• DocumentCode
    1094829
  • Title

    A linear systolic array for recursive least squares

  • Author

    Lorenzelli, Flavio ; Yao, Kung

  • Author_Institution
    Dept. of Electr. Eng., California Univ., Los Angeles, CA, USA
  • Volume
    43
  • Issue
    12
  • fYear
    1995
  • fDate
    12/1/1995 12:00:00 AM
  • Firstpage
    3014
  • Lastpage
    3021
  • Abstract
    Classical systolic design procedures rely on linear or affine space-time transformations because of the well-understood properties of linear operations. In order to increase the efficiency of the final processor, various ad hoc manipulations applied to transformations that appeared to be nonlinear at the physical array level have been proposed. Folding is one of these possible transformations. The authors show that folding can actually be considered to be an overall linear procedure by artificially increasing the dimensionality of the dependence graph of the algorithm. A 1-D array for recursive least squares is also derived as an application of a systematic linear design procedure including folding
  • Keywords
    adaptive antenna arrays; antenna arrays; array signal processing; least squares approximations; parallel algorithms; recursive estimation; systolic arrays; 1-D array; dependence graph; dimensionality; efficiency; linear systolic array; overall linear procedure; physical array level; recursive least squares; Adaptive arrays; Algorithm design and analysis; Design methodology; Least squares methods; Physics computing; Processor scheduling; Resonance light scattering; Shape control; Signal processing algorithms; Systolic arrays;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/78.476445
  • Filename
    476445