Geodesic
Modeling artificial whistlers in PyСharm
News of the Kabardin-Balkar scientific center of RAS, Tome 26 (2024) no. 5, pp. 53-63

Voir la notice de l'article provenant de la source Math-Net.Ru

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, frequency, signal model, Python, PyCharm
Mots-clés : dispersion coefficient, spectrogram 
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     author = {L. S. Marchenko and R. I. Parovik},
     title = {Modeling artificial whistlers in {Py{\CYRS}harm}},
     journal = {News of the Kabardin-Balkar scientific center of RAS},
     pages = {53--63},
     publisher = {mathdoc},
     volume = {26},
     number = {5},
     year = {2024},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/IZKAB_2024_26_5_a3/}
}
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L. S. Marchenko; R. I. Parovik. Modeling artificial whistlers in PyСharm. News of the Kabardin-Balkar scientific center of RAS, Tome 26 (2024) no. 5, pp. 53-63. http://geodesic.mathdoc.fr/item/IZKAB_2024_26_5_a3/