Design of a discrete algebraic robust differentiation FIR filter using an annihilator of the Z-transform; frequency response analysis and parameter tuning

The seminal work of Mboup et al. [ 1 ] has opened a new approach of robust differentiator design based upon the concept of annihilator of the Laplace transform of a continuous input signal. Our work is an investigation of the derivation and analysis of a new discrete FIR estimator designed using thi...

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Published inNumerical algorithms Vol. 68; no. 4; pp. 867 - 901
Main Author Courreges, Fabien
Format Journal Article
LanguageEnglish
Published New York Springer US 01.04.2015
Springer Nature B.V
Springer Verlag
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Abstract The seminal work of Mboup et al. [ 1 ] has opened a new approach of robust differentiator design based upon the concept of annihilator of the Laplace transform of a continuous input signal. Our work is an investigation of the derivation and analysis of a new discrete FIR estimator designed using this same concept. We have specifically considered a discrete input signal and derived an annihilator of its Z-transform. The resulting new estimator expression shows to be very simple to implement as two cascaded stages: 1. Signal smoothing with a low-pass filter; 2. Euler finite differentiation. We could also derive fast algorithms for the parameters tuning in case of ripple noise. Our experimental results show the ease of parameter tuning and efficacy of the estimator.
AbstractList The seminal work of Mboup et al. [1] has opened a new approach of robust differentiator design based upon the concept of annihilator of the Laplace transform of a continuous input signal. Our work is an investigation of the derivation and analysis of a new discrete FIR estimator designed using this same concept. We have specifically considered a discrete input signal and derived an annihilator of its Z-transform. The resulting new estimator expression shows to be very simple to implement as two cascaded stages: 1. Signal smoothing with a low-pass filter; 2. Euler finite differentiation. We could also derive fast algorithms for the parameters tuning in case of ripple noise. Our experimental results show the ease of parameter tuning and efficacy of the estimator.
The seminal work of Mboup et al. [ 1 ] has opened a new approach of robust differentiator design based upon the concept of annihilator of the Laplace transform of a continuous input signal. Our work is an investigation of the derivation and analysis of a new discrete FIR estimator designed using this same concept. We have specifically considered a discrete input signal and derived an annihilator of its Z-transform. The resulting new estimator expression shows to be very simple to implement as two cascaded stages: 1. Signal smoothing with a low-pass filter; 2. Euler finite differentiation. We could also derive fast algorithms for the parameters tuning in case of ripple noise. Our experimental results show the ease of parameter tuning and efficacy of the estimator.
Author Courreges, Fabien
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Issue 4
Keywords Robust discrete algebraic differentiator
FIR digital differentiator
Annihilator of the signal’s Z-transform
Parameter tuning
Language English
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Snippet The seminal work of Mboup et al. [ 1 ] has opened a new approach of robust differentiator design based upon the concept of annihilator of the Laplace transform...
The seminal work of Mboup et al. [1] has opened a new approach of robust differentiator design based upon the concept of annihilator of the Laplace transform...
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StartPage 867
SubjectTerms Algebra
Algorithms
Computer Science
Design engineering
Differentiation
Engineering Sciences
Estimators
FIR filters
Frequency response
Low pass filters
Mathematical models
Numeric Computing
Numerical Analysis
Original Paper
Parameters
Ripples
Robustness
Signal and Image processing
Theory of Computation
Tuning
Z transforms
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Title Design of a discrete algebraic robust differentiation FIR filter using an annihilator of the Z-transform; frequency response analysis and parameter tuning
URI https://link.springer.com/article/10.1007/s11075-014-9875-3
https://www.proquest.com/docview/2918613080
https://search.proquest.com/docview/1770380865
https://unilim.hal.science/hal-01315328
Volume 68
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