1988
DOI: 10.1109/5.4408
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Design of digital differentiators for low frequencies

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Cited by 111 publications
(49 citation statements)
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“…A starting point of the velocity/displacement estimation was in [9]. Relatively nonconservative velocity filter in [7] was used for the same simulation of Fig.…”
Section: Methods For Removing the Noisy Behaviormentioning
confidence: 99%
“…A starting point of the velocity/displacement estimation was in [9]. Relatively nonconservative velocity filter in [7] was used for the same simulation of Fig.…”
Section: Methods For Removing the Noisy Behaviormentioning
confidence: 99%
“…Later, Bihan generalized this method and introduced the H R T ( Z ) class [3] and recently, Al-Alaoui [5] and [6] proposed integrators based on the formulation of HST ( z ) class. Substituting H s (2) and HT ( z ) into (2) and after some simplifications, HST ( z ) takes the following general form…”
Section: H S T ( Z ) = a H S ( Z )mentioning
confidence: 99%
“…The third set 0.50000 0.50000 0.50000 0.50000 1 2 1 2 of filter coefficients was chosen using the maximally linear criterium. This criterium was developed by B. Kumar and S.C. Dutta Roy in [66][67][68] for application in digital differentiator filters. The maximally linear criterium fixes a number of derivatives of the transfer function at a chosen frequency, guaranteeing high accuracy around a small frequency band.…”
Section: Filter Coefficientsmentioning
confidence: 99%