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Improving Polynomial Methods of Reconstruction of Functional Dependences in Information-Measuring Systems

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Measurement Techniques Aims and scope

Automated methods and algorithms for use in finding polynomials of best approximation for approximating functional dependences and calibration characteristics from the standpoint of optimization of the criteria of a computational process are improved. Methods of mutual compensation of the errors of specialized computational measuring systems are considered.

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The present study was carried out with the support of the Russian Foundation of Basic Research (Grant No. 14-07–00293).

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Authors and Affiliations

  1. Murom Division, Vladimir State Technical University, Murom, Russia

    V. V. Chekushkin & K. V. Mikheev

  2. Murom Factory of Radiomeasuring Devices, Murom, Russia

    I. V. Panteleev

Authors
  1. V. V. Chekushkin
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  2. K. V. Mikheev
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  3. I. V. Panteleev
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Correspondence to V. V. Chekushkin.

Additional information

Translated from Izmeritel’naya Tekhnika, No. 4, pp. 16–21, April, 2015.

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Chekushkin, V.V., Mikheev, K.V. & Panteleev, I.V. Improving Polynomial Methods of Reconstruction of Functional Dependences in Information-Measuring Systems. Meas Tech 58, 385–392 (2015). https://doi.org/10.1007/s11018-015-0722-2

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  • DOI: https://doi.org/10.1007/s11018-015-0722-2

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