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Fourier transform based on 4-points approximation for ACS frequency proceeding sensors

Voloshinovsky Kirill Ivanovich  (Candidate of science, National research technological university NRTU MISIS)

Article promulgates approximate methods to obtain current-routine proceeding frequency. Exact quadrature formulas as a rule make us to examine complicated algebraic constructions and make alg. conversions to reach them. In several situations, for example for buildcalculate spectrum or spectrum density can be considered a couple of representations for Fourier transform frequencies and Fourier seria. Fourier series result to complicated transcend equation, which requires appropriate decision method [9]. Generally working with Fourier Seria supposed as complicated for exact quadrature. More than thet it is needed to use one more formula for argument and amplitude, like the Moivre generalization Formula [12]. On working at NITU MISiS (Automatization kafedra) и MTU «MIREA» (Automatic systems kaf.) it is clamed to specify question buildcalculating exact spectrum characteristics. Real values of proceeding frequency are important to discuss theoretical synthesis but to be explored on frequencies in model before practicing. Development of programming on functional level not even just a time allows spectrum decision in ready to use analytical view based on Maple 5 application, developed in Python language styles & traditions with further advancing perspective on functional programming level in Microsoft Visual F# environment.

Keywords:frequency, spectrum, Fourier & Laplace transform, Maple, analytical solution, radical exception

 

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Citation link:
Voloshinovsky K. I. Fourier transform based on 4-points approximation for ACS frequency proceeding sensors // Современная наука: актуальные проблемы теории и практики. Серия: Естественные и Технические Науки. -2019. -№11. -С. 52-61
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