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Measurement Techniques

Erschienen in:

01.07.2015

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

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

Erschienen in: Measurement Techniques | Ausgabe 4/2015

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Abstract

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.

Vorheriger Artikel Method for Evaluating Periodic Trends in Measured Signals Based on the Number of Zero Crossings

Nächster Artikel A Process of Finding Two-Dimensional Polynomials for Approximation of the Inverse Transfer Functions of Measuring Sensors

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S. S. Kukushkin and V. N. Zakharov, “Mathematical and methodological principles in using a constructive residue theorem in processing measurements,” Izmer. Tekhn., No. 10, 18–21 (2006); Measur. Techn., 49, No. 10, 976–982 (2006).

S. S. Kukushkin, “Models for vector data representation and nontraditional transformation in a residual-class system,” Izmer. Tekhn., No. 3, 15–20 (2007); Measur. Techn., 50, No. 3, 237–244 (2007).

S. S. Kukushkin and N. N. Gulyi, “New methods and technologies for processing video images in full-scale tests of complex technical systems,” Izmer. Tekhn., No. 4, 20–24 (2009); Measur. Techn., 52, No. 4, 360–367 (2009).

Yu. F. Opadchii and E. M. Chumakova, “A study of methods of computing elementary mathematical functions and their implementations in PLIS,” Inform. Tekhnol., No. 4, 52–56 (2014).

V. N. Kochemasov and L. A. Belov, “Digital computational synthesizers,” Elektron., Nauka, Tekhnol., Biznes, No. 2, 150–160 (2014).

A. M. Averyanov, V. V. Chekushkin, and I. V. Panteleev, “Methods of increasing the speed and accuracy characteristics of converters of orthogonal components of a signal into amplitude,” Izmer. Tekhn., No. 8, 9–14 (2012); Measur. Techn., 55, No. 8, 858–866 (2012).

I. V. Panteleev and V. V. Chekushkin, “Modeling methods of searching for polynomials of best approximation,” Vopr. Radioelektr., No. 1, 119–125 (2011).

V. V. Chekushkin and V. V. Bulkin, Computational Processes in Information Measuring Systems: Textbook, Izd.-Poligraf. Tsentr MI VlGU, Murom (2009).

V. V. Chekushkin, I. V. Panteleev, and A. D. Bogatov, Patent 2476896 RF, “A method of calibration of a measuring system,” Izobret. Polezn. Modeli, No. 6 (2013).

10.

Y. H. Chen and Y. A. Chau, “A direct digital frequency synthesizer based on a new form of polynomial approximations,” IEEE Trans. Consum. Electron., 56, No. 2, 436–440 (2010).CrossRef

11.

V. V. Chekushkin, K. V. Mikheev, and I. V. Panteleev, “A program for searching for polynomials of best approximation for reconstruction of functional dependences,” No. 2014615085, reg. 05.16.2014, Reestr Progr. dlya EVM.

Titel: Improving Polynomial Methods of Reconstruction of Functional Dependences in Information-Measuring Systems
verfasst von: V. V. Chekushkin
K. V. Mikheev
I. V. Panteleev
Publikationsdatum: 01.07.2015
Verlag: Springer US
Erschienen in: Measurement Techniques / Ausgabe 4/2015
Print ISSN: 0543-1972
Elektronische ISSN: 1573-8906
DOI: https://doi.org/10.1007/s11018-015-0722-2

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