Research of an Algorithm for Smoothing of Digital Measurement Information in Systems of Dynamic Change

dc.contributor.author	Atajonova Saidakhon Borataliyevna
dc.contributor.author	Ergashev Odiljon Alijon o‘gli
dc.date.accessioned	2026-01-01T10:47:00Z
dc.date.issued	2023-01-23
dc.description.abstract	This article discusses the construction of a smoothing algorithm for digital measurement information in dynamic change systems using the Kalman filter. Elimination of errors and errors in the sensors is carried out by a smoothing algorithm which is the most optimal method in this case. Adaptive anti-aliasing filters are used as an adaptive device
dc.format	application/pdf
dc.identifier.uri	https://zienjournals.com/index.php/tjet/article/view/3257
dc.identifier.uri	https://asianeducationindex.com/handle/123456789/60747
dc.language.iso	eng
dc.publisher	Zien Journals
dc.relation	https://zienjournals.com/index.php/tjet/article/view/3257/2710
dc.rights	https://creativecommons.org/licenses/by-nc/4.0
dc.source	Texas Journal of Engineering and Technology; Vol. 16 (2023): TJET; 33-36
dc.source	2770-4491
dc.subject	treatment
dc.subject	signals
dc.subject	algorithm
dc.subject	smoothing
dc.title	Research of an Algorithm for Smoothing of Digital Measurement Information in Systems of Dynamic Change
dc.type	info:eu-repo/semantics/article
dc.type	info:eu-repo/semantics/publishedVersion
dc.type	Peer-reviewed Article

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