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This article is cited in 1 scientific paper (total in 1 paper)
Computer modeling and design automation
Modeling artificial whistlers in PyÑharm
L. S. Marchenkoa, R. I. Parovikb a Scientific Research Geotechnological Centre
Far Eastern Branch of the Russian Academy of Sciences,
683002, Russia, Petropavlovsk-Kamchatsky, 30 Severo-Vostochnoye highway
b Institute of Cosmophysical Research and Radio Wave Propagation
Far Eastern Branch of the Russian Academy of Sciences,
684034, Russia, Kamchatka, Elizovsky District, Paratunka, 7 Mirnaya street
Abstract:
The work proposed an algorithm for modeling an artificial whistler signal in Python in the
PyCharm environment. The algorithm is based on physical and mathematical models of whistler
propagation. The proposed algorithm can be used to model signal characteristics, duration, maximum and
minimum frequency, and sampling frequency. The algorithm implements the ability to construct the
amplitude characteristic of the signal, as well as construct its spectrogram. The model of the artificial
whistler signal can be used to solve the problem of whistler recognition in real time.
Keywords:
whistler, mathematical model, dispersion coefficient, frequency, signal model, spectrogram,
Python, PyCharm
Received: 30.09.2024 Revised: 07.10.2024 Accepted: 11.10.2024
Citation:
L. S. Marchenko, R. I. Parovik, “Modeling artificial whistlers in PyÑharm”, News of the Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences, 26:5 (2024), 53–63
Linking options:
https://www.mathnet.ru/eng/izkab899 https://www.mathnet.ru/eng/izkab/v26/i5/p53
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| Statistics & downloads: |
| Abstract page: | 115 | | Full-text PDF : | 33 | | References: | 48 |
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