RESEARCH OF RADIO FREQUENCY SPECTROGRAMS USING METHODS OF LINGUISTIC ANALYSIS

Author:

Tretiakov Igor Aleksandrovich1,Danilov Vladimir Vasilevich1

Affiliation:

1. Donetsk National University

Abstract

The article presents the study of experimental curves of the spectral spectra of radio waves of the FM-range developed on a laboratory model. The algorithm was used to define sections, for which the complexity function took locally minimal values. The standard was determined for each section of the curve, in which all the arithmetic mean ordinates of all areas correspond to the certain class. For a more extended linguistic description of the experimental curves, it is proposed to compile the description taking into account the location of the curve sections on the abscissa axis. The obtained extended linguistic description of the curve will reflect not only classes of simple events, but their phases as well. As a result of applying the linguistic analysis system for the analysis of spectral radiograms, it can be inferred that the experimental curves are presented in the form of short and reliable rules for the analysis of the radiogram spectrum. The use of standards allows to accurately represent each chain of characters in each group with a minimum distance to the standard. The obtained extended descriptions quite accurately describe the behavior of the curves studied.

Publisher

Astrakhan State Technical University

Reference5 articles.

1. Намиот Д. Е., Романов В. Ю. Анализ данных для программных репозиториев // International Journal of Open Information Technologies. 2018. № 4. C. 18–23., Namiot D. E., Romanov V. Iu. Analiz dannykh dlia programmnykh repozitoriev [Data analysis for software repositories]. International Journal of Open Information Technologies, 2018, no. 4, pp. 18-23.

2. Заруцкий С. А., Власенко Е. А. Автоматизация анализа данных экспериментальных исследований // Электронный журнал ИВД. 2018. № 1 (48). URL: http://ivdon.ru/uploads/article/pdf/IVD_115_Zaruckij_ Vlasenko.pdf_e7e45a41f4.pdf (дата обращения: 18.01.2020)., Zarutskii S. A., Vlasenko E. A. Avtomatizatsiia analiza dannykh eksperimental'nykh issledovanii [Automation of analysis of experimental research data]. Elektronnyi zhurnal IVD, 2018, no. 1 (48). Available at: http://ivdon.ru/uploads/article/pdf/IVD_115_ Zaruckij_Vlasenko.pdf_e7e45a41f4.pdf (accessed: 18.01.2020).

3. Данилов В. В., Третьяков И. А., Шалаев А. В., Рушечников Я. И. Алгоритмы идентификации переходных участков экспериментальных кривых с применением аппроксимации // Сб. науч. тр. Донец. ин-та железнодорож. транспорта. 2018. № 48. С. 19–23., Danilov V. V., Tret'iakov I. A., Shalaev A. V., Rushechnikov Ia. I. Algoritmy identifikatsii perekhodnykh uchastkov eksperimental'nykh krivykh s primeneniem approksimatsii [Algorithms for identifying transition sections of experimental curves using approximation]. Sbornik nauchnykh trudov Donetskogo instituta zheleznodorozhnogo transporta, 2018, no. 48, pp. 19-23.

4. Данилов В. В., Третьяков И. А., Рушечников Я. И. Алгоритмизация присвоения символов анали-зируемым участкам экспериментальных кривых // Сб. науч. тр. Донец. ин-та железнодорож. транспорта. 2018. № 51. С. 15–22., Danilov V. V., Tret'iakov I. A., Rushechnikov Ia. I. Algoritmizatsiia prisvoeniia simvolov analiziruemym uchastkam eksperimental'nykh krivykh [Algorithmization of character assignment to analyzed sections of experimental curves]. Sbornik nauchnykh trudov Donetskogo instituta zheleznodorozhnogo transporta, 2018, no. 51, pp. 15-22.

5. Третьяков И. А., Данилов В. В. Функции сложности для выделения и распознавания характерных участков экспериментальных кривых // Вестн. Донец. национ. ун-та. Сер. А: Естественные науки. 2017. № 2. С. 101–107., Tret'iakov I. A., Danilov V. V. Funktsii slozhnosti dlia vydeleniia i raspoznavaniia kharakternykh uchastkov eksperimental'nykh krivykh [Complexity functions for isolating and recognizing characteristic portions of experimental curves]. Vestnik Donetskogo natsional'nogo universiteta. Seriia A: Estestvennye nauki, 2017, no. 2, pp. 101-107.

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Structural-linguistic approach to the description of spectrogram of electromagnetic radiation spectrograms generated by computing technology;Vestnik of Astrakhan State Technical University. Series: Management, computer science and informatics;2023-01-31

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3