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Estimation of Probability Distributions of Geoacoustic Signal Characteristics
Author(s) -
Maksim Gapeev,
Yury Senkevich,
Olga Lukovenkova
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2096/1/012018
Subject(s) - signal (programming language) , envelope (radar) , pulse (music) , amplitude , position (finance) , histogram , acoustics , probability distribution , signal processing , geology , computer science , mathematics , algorithm , statistics , physics , artificial intelligence , optics , detector , telecommunications , radar , finance , economics , image (mathematics) , programming language
The paper presents an estimation of probability distributions of geoacoustic signal characteristics. The studied signals have a pulsed nature. The ones have been recording at the geodynamic test site of the IKIR FEB RAS (Kamchatka Peninsula) for more than 20 years. To estimate the distribution of characteristics, such time intervals were determined in which histograms of the distribution did not change. The following characteristics were chosen for the estimation: maximum amplitude, the position of pulse envelope maximum, duration, filling frequency, and pulse-to-pulse interval. The obtained estimates made it possible to develop an empirical model of the geoacoustic emission signal. The model can help to test new and existing algorithms for the processing and analysis of geoacoustic signals. The paper also shows that the formalization of the selected characteristics makes it possible to search for anomalies, including those associated with seismic events, by the characteristic variations.

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