Qualitative approach in extracting the information content of wave data. Trudy MAI, 2024

Аuthors

Balakirev N. E.^*, Fadeev M. ^**, Rodionov V. ^***

Moscow Aviation Institute (National Research University), 4, Volokolamskoe shosse, Moscow, А-80, GSP-3, 125993, Russia

*e-mail: balakirev1949@yandex.ru
**e-mail: fadeev_mix@bk.ru
***e-mail: tuukvadim@live.com

Abstract

This article examines the use of a qualitative approach in the analysis of wave phenomena, the features of studying waves as a qualitative aspect, and the introduction of new approaches in the analysis and synthesis of waves. The authors note that most pattern recognition systems based on wave phenomena use classical mathematical methods for modeling and analyzing data, focusing on quantitative characteristics. However, this article raises the question of a qualitative assessment of the data obtained and their content, and also considers the possibility of using a qualitative approach in disclosing the information content of data flows of wave phenomena. The dissection of such content is the basis for speech recognition or integral, informational analysis of complex natural phenomena based on the consideration of wave signals.
The article proposes a logical-linguistic method that allows you to automatically describe the flow of wave data using a system of relationships and create structured data models and describe the data flow of wave phenomena as a sequence of structures acting as the initial alphabet of signs.
 Structures have been developed and used to describe wave flows and create unique algorithms.  Practical results include structuring sound streams, compacting information, watermarking, voicemail, and other technological advances. Practical application in the field of aviation and rocket industry takes place in the field of communication and data storage, as well as fixation of measuring instruments, where wave fluctuations are possible for their subsequent analysis.
In conclusion, the article offers a new approach to the analysis and synthesis of wave data based on a qualitative assessment of the data content, which opens up new prospects for the field of wave research and their applications.

Keywords:

information content, recognition, qualitative approach

References

1. Chernikov A.A. Trudy MAI, 2023, no. 129. URL: https://trudymai.ru/eng/published.php?ID=173039. DOI: 10.34759/trd-2023-129-26
2. Popov E.P., Vereikin A.A., Nasonov F.A. Trudy MAI, 2021, no. 120. URL: https://trudymai.ru/eng/published.php?ID=161429. DOI: 10.34759/trd-2021-120-15
3. Lebedev A.S., Dobrolyubov A.N., Mikhailenko A.V., Bezrukov A.V. Trudy MAI, 2020, no. 112. URL: https://trudymai.ru/eng/published.php?ID=116578. DOI: 10.34759/trd-2020-112-018
4. Sel'vesyuk N.I., Veselov Yu.G., Gaidenkov A.V., Ostrovskii A.S. Trudy MAI, 2018, no. 103. URL: https://trudymai.ru/published.php?ID=100782
5. Mitrokhin A.N. Zakonodatel'naya i prikladnaya metrologiya, 2002, no. 5, pp. 37-45.
6. Filosofskaya entsiklopediya. Vol. 2. (The Philosophical Encyclopedia. Vol 2.), Moscow, Sovetskaya entsiklopediya, 1962, 575 p.
7. Dzh. Kh. Uizem. Lineinye i nelineinye volny (Linear and nonlinear waves), Moscow, Mir, 1977, 622 p.
8. Fadeev M.M., Balakirev N.E., Rodionov V.S., Sergeev I.S., Umryukhin E.A. Materialy XXIV Mezhdunarodnoi konferentsii «Informatika: problemy, metodologiya, tekhnologii». Voronezh, Izd. dom VGU, 2024, pp. 807-813.
9. Ginkin G.G. Logarifmy, detsibely, detsilogi (Logarithms, decibels, decilogues), Moscow-Leningrad, Gosenergoizdat, 1962, 352 p.
10. Kotel'nikov V.A. Uspekhi fizicheskikh nauk, 2006, no. 7, pp. 762-770.
11. Grotendik A. Urozhai i posevy. Razmyshleniya o proshlom matematika (Harvests and crops. Reflections on the past of mathematics), Izhevsk, NITs Regulyarnaya i khaoticheskaya dinamika, 2002, 288 p.
12. Fadeev M.M., Balakirev N.E. Mezhdunarodnaya nauchnaya konferentsiya «Aktual'nye problemy prikladnoi matematiki, informatiki i mekhaniki»: sbornik trudov. Voronezh, Izd-vo Nauchno-issledovatel'skie publikatsii, 2024, pp. 1464-1469.
13. Balakirev N.E., Nguen Kh.Z., Malkov M.A., Fadeev M.M. Programmnye produkty i sistemy, 2018, vol. 31, no. 4, pp. 768–776.
14. Fadeev M.M., Balakirev N.E. Svidetel'stvo o gosudarstvennoi registratsii programmy dlya EVM № 2023688814 RF, 25.12.2023.
15. Balakirev N.E., Gusnin S.Yu., Fetisov S.V. Materialy XVI Mezhdunarodnoi nauchno-metodicheskoi konferentsii «Informatika: problemy, metodologiya, tekhnologii». Voronezh, Izd-vo Nauchno-issledovatel'skie publikatsii, 2016, pp. 65-69.
16. Balakirev N.E., Evseeva M.V, Nguen Kh.Z., Fadeev M.M. II Vserossiiskaya nauchno-prakticheskaya konferentsiya s mezhdunarodnym uchastiem im. V.V. Gubareva «Intellektual'nyi analiz signalov, dannykh i znanii: metody i sredstva»: sbornik statei. Novosibirsk, Novosibirskii gosudarstvennyi tekhnicheskii universitet, 2018, pp. 22-28.
17. Nefedov N.E., Balakirev S.Yu., Gusnin K.D., Zhukov M.A. Materialy XVI Mezhdunarodnoi nauchno-metodicheskoi konferentsii «Informatika: problemy, metodologiya, tekhnologii». Voronezh, Izd-vo Nauchno-issledovatel'skie publikatsii, 2016, pp. 216-220.
18. Fadeev M.M., Belousov A.E., Balakirev N.E. Svidetel'stvo o gosudarstvennoi registratsii programmy dlya EVM № 2024613488 RF, 13.02.2024.
19. Balakirev N.E., Nguen Kh.Z. Trudy MAI, 2019, no. 104. URL: https://trudymai.ru/eng/published.php?ID=102430
20. Dement'ev A.N., Klyuev D.S., Novikov A.N., Mezhnov A.S., Piterskova Yu.A., Zakharova E.V., Dement'ev L.A. Trudy MAI, 2022, no. 124. URL: https://trudymai.ru/eng/published.php?ID=167170. DOI: 10.34759/trd-2022-124-25

Download