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Filtration of Measurement Data in Structural-Algorithmic Transformations

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Measurement Techniques Aims and scope

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.

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Authors and Affiliations

  1. Federal Center of Science and High Technologies – Eleron Special Research and Production Association (FCS&HT SNPO Eleron), Moscow, Russia

    V. I. Kuznetsov & S. S. Kukushkin

Authors
  1. V. I. Kuznetsov
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  2. S. S. Kukushkin
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Correspondence to V. I. Kuznetsov.

Additional information

Translated from Izmeritel’naya Tekhnika, No. 3 pp. 15–19, March, 2018.

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Kuznetsov, V.I., Kukushkin, S.S. Filtration of Measurement Data in Structural-Algorithmic Transformations. Meas Tech 61, 210–215 (2018). https://doi.org/10.1007/s11018-018-1411-8

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  • DOI: https://doi.org/10.1007/s11018-018-1411-8

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