prikaz prve stranice dokumenta An algebraic approach to on-line signal denoising and derivatives estimation
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An algebraic approach to on-line signal denoising and derivatives estimation
Journal of the Franklin Institute, 355 (2018), 15; 7799-7825. https://doi.org/10.1016/j.jfranklin.2018.08.016
Kasac, Josip; Majetic, Dubravko; Brezak, Danko

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Kasac, J., Majetic, D. i Brezak, D. (2018). An algebraic approach to on-line signal denoising and derivatives estimation. Journal of the Franklin Institute, 355. (15), 7799-7825. doi: 10.1016/j.jfranklin.2018.08.016

Kasac, Josip, et al. "An algebraic approach to on-line signal denoising and derivatives estimation." Journal of the Franklin Institute, vol. 355, br. 15, 2018, str. 7799-7825. https://doi.org/10.1016/j.jfranklin.2018.08.016

Kasac, Josip, Dubravko Majetic i Danko Brezak. "An algebraic approach to on-line signal denoising and derivatives estimation." Journal of the Franklin Institute 355, br. 15 (2018): 7799-7825. https://doi.org/10.1016/j.jfranklin.2018.08.016

Kasac, J., Majetic, D. i Brezak, D. (2018) 'An algebraic approach to on-line signal denoising and derivatives estimation', Journal of the Franklin Institute, 355(15), str. 7799-7825. doi: 10.1016/j.jfranklin.2018.08.016

Kasac J, Majetic D, Brezak D. An algebraic approach to on-line signal denoising and derivatives estimation. Journal of the Franklin Institute [Internet]. 10.2018. [pristupljeno 05.07.2024.];355(15):7799-7825. doi: 10.1016/j.jfranklin.2018.08.016

J. Kasac, D. Majetic i D. Brezak, "An algebraic approach to on-line signal denoising and derivatives estimation", Journal of the Franklin Institute, vol. 355, br. 15, str. 7799-7825, Listopad 2018. [Online]. Dostupno na: https://urn.nsk.hr/urn:nbn:hr:235:831283. [Citirano: 05.07.2024.]

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Podaci o radu
Naslov (engleski)An algebraic approach to on-line signal denoising and derivatives estimation
AutorJosip Kasac
AutorDubravko Majetic
AutorDanko Brezak
Autorova ustanovaSveučilište u Zagrebu
Fakultet strojarstva i brodogradnje
Znanstveno / umjetničko
područje, polje i grana		TEHNIČKE ZNANOSTI
Strojarstvo
Sažetak (engleski)
In this paper, a new algebraic approach to the on-line signal derivatives estimation is proposed. The proposed approach is based on the conversion of the truncated Taylor series expansion to the set of linearly independent equations regarding the signal derivatives. The nonhomogeneous parts of the obtained set of equations are convolution integrals, which can be transformed to the stable linear state-space filter realization. The proposed algebraic estimator provides stable convergence without the need for periodic re-initialization, as in the case of the conventional algebraic estimators. In contrast to the Taylor series-based tracking differentiators, the proposed estimator also provides an estimation of the arbitrary number of the higher-order signal derivatives. In addition, the tuning of the estimator parameters does not depends on the filter dimension. The efficiency of the proposed estimator is illustrated by the simulation examples and experimental results related to the monitoring of the surgical drilling process.
Jezikengleski
Vrsta publikacijeZnanstveni rad - Izvorni znanstveni rad
Status objaveObjavljen
Vrsta recenzijeRecenziran - međunarodna recenzija
Verzija publikacijeZavršna verzija rukopisa prihvaćena za objavljivanje (postprint)
Naslov časopisaJournal of the Franklin Institute
Brojčani podacivol. 355, br. 15, str. 7799-7825
BPC0 EUR
p-ISSN0016-0032
DOIhttps://doi.org/10.1016/j.jfranklin.2018.08.016
URN:NBNurn:nbn:hr:235:831283
Datum objave publikacije2018-10
URL dokumentahttps://linkinghub.elsevier.com/retrieve/pii/S0016003218305490
Vrsta resursaTekst
Prava pristupaOtvoreni pristup
Uvjeti korištenjaIkona licence Zaštićeno autorskim pravom.
Datum i vrijeme pohrane2024-07-04 16:03:53