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Erschienen in: Measurement Techniques 4/2016

30.07.2016

Fast Search Algorithms for the Best Approximation Polynomials for Reproduction of Functional Dependences in Data-Measurement Systems

verfasst von: V. V. Chekushkin, K. V. Mikheev

Erschienen in: Measurement Techniques | Ausgabe 4/2016

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Abstract

Fast algorithms are proposed to search for the best polynomial approximations for the functional dependences and calibration characteristics of measurement systems. The number of iteration cycles in searches for optimal values of the physical standards for calibration of measurement channels is reduced.

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Metadaten
Titel
Fast Search Algorithms for the Best Approximation Polynomials for Reproduction of Functional Dependences in Data-Measurement Systems
verfasst von
V. V. Chekushkin
K. V. Mikheev
Publikationsdatum
30.07.2016
Verlag
Springer US
Erschienen in
Measurement Techniques / Ausgabe 4/2016
Print ISSN: 0543-1972
Elektronische ISSN: 1573-8906
DOI
https://doi.org/10.1007/s11018-016-0970-9

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