Article 3417

Title of the article

AN ALGORITHM FOR KINETIC DATA PROCESSING DURING THE ANALYSIS OF GAS MIXTURES 

Authors

Nikolaev Andrey Valer’evich, director general, Scientific Research Institute for Physical Measurements (440026, 8/10 Volodarskogo street, Penza, Russia), info@niifi.ru
Al-Salim Suad Zuher, doctor of physical and mathematical sciences, professor, director general, Ltd «Omega» (199048, lit. In, 19-21 embankment of the Smolenka river, Saint-Petersburg, Russia), suad-olka@yandex.ru

Index UDK

681.586.72

DOI

10.21685/2307-4205-2017-4-3

Abstract

In work transformations of dynamic measurements, their classification and development of an algorithm of processing of kinetic data are considered. Process of roughing-out is presented in the form of a number of procedures, with the operations belong into space of rational numbers. Procedures of a filtration of data, correction of the basic line, noise reduction, a preliminary statistical estimate of gaged parameters are shown. Need of the choice of weight function sof the linear operators over the field of the generalized values of observed data sis defined. It is shown that the introduction of generalized coordinates makes it possible to use the Hamiltonian formalism and, instead of time derivatives, go over to first and second order operators. Moreover, the analytic system can be complete only if it is endowed with the property of ergodicity and time reversibility. A complex analytic signal is proposed to be decomposed into the spectrum in terms of frequencies –(variable) parameters, inverse to time. The method of selective identification is applied when a linear equation is compiled based on an analytical basis that is orthogonal with respect to the composition of the medium being analyzed, which makes it possible, independently of the transformed signal, to perform both group and individual identification of components of complex composition media.

Key words

an algorithm, superposition, a functional of Gauss, the determined processes, model of Lorentz and Gauss

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Дата создания: 17.01.2018 09:44
Дата обновления: 17.01.2018 13:34