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Time-Frequency Analysis of Geoacoustic Data Using Adaptive Matching Pursuit

  • ACOUSTIC SIGNALS PROCESSING. COMPUTER SIMULATION
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Abstract

The paper presents the results of applying a developed approach based on sparse approximation methods for time–frequency analysis of geoacoustic data. A sparse representation of the geoacoustic signal and the developed adaptive matching pursuit algorithm are described using the combined dictionary of Berlage and Gauss functions. The results of the time–frequency analysis of geoacoustic signals are presented. The features revealed by the proposed approach that arise in the time–frequency structures of geoacoustic data before earthquakes are shown. The article was prepared based on materials in a report at the Third All-Russian Acoustics Conference (September 21–25, 2020, St. Petersburg).

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Authors and Affiliations

  1. Institute of Cosmophysical Research and Radio Wave Propagation, Far Eastern Branch, Russian Academy of Sciences, Kamchatka krai, 683034, Paratunka, Russia

    Yu. V. Marapulets & O. O. Lukovenkova

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  1. Yu. V. Marapulets
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  2. O. O. Lukovenkova
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Correspondence to Yu. V. Marapulets.

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Marapulets, Y.V., Lukovenkova, O.O. Time-Frequency Analysis of Geoacoustic Data Using Adaptive Matching Pursuit. Acoust. Phys. 67, 312–319 (2021). https://doi.org/10.1134/S106377102103009X

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  • DOI: https://doi.org/10.1134/S106377102103009X

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