• DocumentCode
    944271
  • Title

    Recursion formulas for growing memory digital filters

  • Author

    Blum, Marvin

  • Volume
    4
  • Issue
    1
  • fYear
    1958
  • fDate
    3/1/1958 12:00:00 AM
  • Firstpage
    24
  • Lastpage
    30
  • Abstract
    A growing memory digital filter is defined by considering the input (y_{\\nu-u}) -output (Z_m) relationship in the form Z_m = \\sum _{u=0}^m W_{um} y_{m-u}, m = 0, 1, 2, \\cdots where W_{um} is the weighting sequence of a linear time varying digital filter. Contained herein are a derivation of an optimum growing memory smoothing and prediction filter in the least squares sense for polynomial input functions, (of degree = K ) and a theorem on the class of time invariant sequence W_u , which are solutions of a difference equation of tiite order, and an application of the theorem to the synthesis of sampled correlated noise by digital processes, using recursion formulas. The recursion formulation represents a practical solution to the generation of a correlated noise sequence on line during simulation studies on digital computers.
  • Keywords
    Digital filters; Application software; Autocorrelation; Computational modeling; Computer simulation; Difference equations; Digital filters; Integral equations; Least squares approximation; Least squares methods; Polynomials; Smoothing methods; Taylor series;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IRE Transactions on
  • Publisher
    ieee
  • ISSN
    0096-1000
  • Type

    jour

  • DOI
    10.1109/TIT.1958.1057439
  • Filename
    1057439