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Measurement Techniques
Published in: Measurement Techniques 3/2018

05-07-2018

Filtration of Measurement Data in Structural-Algorithmic Transformations

Authors: V. I. Kuznetsov, S. S. Kukushkin

Published in: Measurement Techniques | Issue 3/2018

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Abstract

Results of studies of a nontraditional representation of data images of residues in different variants of their occurrence in word dimensions are presented. The influence of noisy interference on the information content of a sample of telemetry data is investigated. The level of influence of distortions in an implementation of different structures in the formation of transmitted messages is shown. Variant applications of methods of filtration in the solution of problems that arise in processing and analysis of data on the results of measurements are considered. Ways of increasing the temporal density of control of a measurable parameter and decreasing the errors of estimators obtained from an analysis of data on the results of measurements are described and requirements on the carrying capacity of a data transmission channel are presented.
previous article Interval Method of Bisection for a Metrologically Based Search for the Roots of Equations with Inaccurately Specified Initial Data
next article Parametric and Nonparametric Identification of the Distribution Law from Interval Data

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Literature
1.
S. S. Kukushkin, Theory of Finite Fields and Information, Vol. 1, Methods and Algorithms, Both Classical and Nontraditional Based on the Use of the Constructive Residue Theorem, Ministry of Defense of the Russian Federation, Moscow (2003).
2.
J. Macclenan and C. Raider, Application of Number Theory in Digital Processing of Signals [Russian translation], Radio i Svyaz, Moscow (1983).
3.
R. Kalman, P. Falb, and M. Arbib, Studies in Mathematical Systems Theory [Russian translation], Mir, Moscow (1971).MATH
4.
E. Sage and J. Mels, Theory of Estimation and Its Application in Communications and Control [Russian translation], Svyaz, Moscow (1976).
5.
V. I. Kuznetsov, “Statistical identification. Adaptive filtration,” Prom. ASU i Kontr., No. 7, 20–27 (2014).
Metadata
Title
Filtration of Measurement Data in Structural-Algorithmic Transformations
Authors
V. I. Kuznetsov
S. S. Kukushkin
Publication date
05-07-2018
Publisher
Springer US
Published in
Measurement Techniques / Issue 3/2018
Print ISSN: 0543-1972
Electronic ISSN: 1573-8906
DOI
https://doi.org/10.1007/s11018-018-1411-8

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