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
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