prikaz prve stranice dokumenta An algebraic approach to on-line signal denoising and derivatives estimation
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Scientific paper - Original scientific paper
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. & 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, no. 15, 2018, pp. 7799-7825. https://doi.org/10.1016/j.jfranklin.2018.08.016

Kasac, Josip, Dubravko Majetic and Danko Brezak. "An algebraic approach to on-line signal denoising and derivatives estimation." Journal of the Franklin Institute 355, no. 15 (2018): 7799-7825. https://doi.org/10.1016/j.jfranklin.2018.08.016

Kasac, J., Majetic, D. and Brezak, D. (2018) 'An algebraic approach to on-line signal denoising and derivatives estimation', Journal of the Franklin Institute, 355(15), pp. 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]. 2018 October [cited 2024 November 12];355(15):7799-7825. doi: 10.1016/j.jfranklin.2018.08.016

J. Kasac, D. Majetic and D. Brezak, "An algebraic approach to on-line signal denoising and derivatives estimation", Journal of the Franklin Institute, vol. 355, no. 15, pp. 7799-7825, October 2018. [Online]. Available at: https://urn.nsk.hr/urn:nbn:hr:235:831283. [Accessed: 12 November 2024]

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Metadata
Title (english)An algebraic approach to on-line signal denoising and derivatives estimation
AuthorJosip Kasac
AuthorDubravko Majetic
AuthorDanko Brezak
Author's institutionUniversity of Zagreb
Faculty of Mechanical Engineering and Naval Architecture
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Mechanical Engineering
Abstract (english)
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.
Languageenglish
Publication typeScientific paper - Original scientific paper
Publication statusPublished
Peer reviewPeer review - international
Publication versionAccepted version
Journal titleJournal of the Franklin Institute
Numberingvol. 355, no. 15, pp. 7799-7825
BPC0 EUR
p-ISSN0016-0032
DOIhttps://doi.org/10.1016/j.jfranklin.2018.08.016
URN:NBNurn:nbn:hr:235:831283
Publication2018-10
Document URLhttps://linkinghub.elsevier.com/retrieve/pii/S0016003218305490
Type of resourceText
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2024-07-04 16:03:53