The paper describes an algorithm for the automated processing of pulse signals in electrotelluric field (ETF) data obtained from monitoring stations on Sakhalin Island. The algorithm’s primary function is to process large arrays of time series and detect pulse signals associated with geodynamic processes. The methods include bandpass filtering of signals, adaptive threshold detection of pulses, and determination of their characteristics. The algorithm is implemented as a console application in C++ using the Qt framework and the fast Fourier transform library kissFFT, enabling efficient handling of of large archives. Application of the algorithm to real measurements confirmed its effectiveness in identifying pulse signals presumably linked to magnetic storms and seismic events. The obtained results offer practical value for the development of information technologies in the Earth sciences and contribute to the expansion of fundamental understanding of the evolution of geophysical fields.

Nikolai S. Stovbun
Researcher, Laboratory of island and coastal electric power systems
Institute of Marine Geology and Geophysics of the Far Eastern Branch of RAS
1 B, Nauki Str., Yuzhno-Sakhalinsk, 693022, Russia
e-mail: n1kolay19971997@yandex.ru
ORCID ID: 0009-0004-1927-798X
SPIN-code: 5829-3857
AuthorID: 1135112

Alexander S. Zakupin
Candidate of Physics and Mathematics
Leading Researcher, Seismology laboratory
Institute of Marine Geology and Geophysics of the Far Eastern Branch of RAS
1 B, Nauki Str., Yuzhno-Sakhalinsk, 693022, Russia
e-mail: a.zakupin@imgg.ru
ORCID ID: 0000-0003-0593-6417
Scopus ID: 6504543065
ResearcherID: F-8399-2016
SPIN-code: 5355-7339
AuthorID: 155122

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