• DocumentCode
    990461
  • Title

    Exact fractional-order differentiators for polynomial signals

  • Author

    Samadi, Saed ; Ahmad, M. Omair ; Swamy, M.N.S.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Concordia Univ., Montreal, Que., Canada
  • Volume
    11
  • Issue
    6
  • fYear
    2004
  • fDate
    6/1/2004 12:00:00 AM
  • Firstpage
    529
  • Lastpage
    532
  • Abstract
    A discrete-time fractional-order differentiator is modeled as a finite-impulse response (FIR) system. The system yields fractional-order derivatives of Riemann-Liouville type for a uniformly sampled polynomial signal. The computation of the output signal is based on the additive combination of the weighted outputs of N cascaded first-order digital differentiators. For differentiators of fractional order with a terminal value equal to zero, the weights are time-varying. The weights are obtained in a closed form involving the Stirling numbers of the first kind. The system tends to a time-invariant integer-order differentiator when the order of the derivative tends to an integer value. It yields exact fractional- or integer-order derivatives of a sampled polynomial signal of a certain order.
  • Keywords
    FIR filters; Newton method; differential equations; discrete time systems; polynomials; signal processing; time-varying systems; FIR system; N cascaded first-order digital differentiator; Newton series; Riemann-Liouville type derivative; Stirling number; discrete-time fractional-order differentiator; finite-impulse response system; linear time-varying system; time-invariant integer-order differentiator; uniformly sampled polynomial signal; Automatic control; Circuits and systems; Digital signal processing; Finite impulse response filter; Helium; Physics; Polynomials; Signal processing; Surges; Time varying systems; Digital differentiators; Newton series; fractional-order derivatives; linear time-varying systems; polynomial signals;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/LSP.2004.827917
  • Filename
    1300601