This article is cited in 1 paper

Computer modeling and design automation

Modeling artificial whistlers in PyСharm

L. S. Marchenko^a, R. I. Parovik<sup>b

a</sup> 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

UDC: 537.86/87+004.942

MSC: 86A10

Received: 30.09.2024
Revised: 07.10.2024
Accepted: 11.10.2024

DOI: 10.35330/1991-6639-2024-26-5-53-63

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