Time-Frequency Analysis of Geoacoustic Data Using Adaptive Matching Pursuit

被引：4

作者：

Marapulets, Yu, V ^{[1
]}

Lukovenkova, O. O. ^{[1
]}

机构：

[1] Russian Acad Sci, Inst Cosmophys Res & Radio Wave Propagat, Far Eastern Branch, Paratunka 683034, Kamchatka Krai, Russia

来源：

ACOUSTICAL PHYSICS | 2021年 / 67卷 / 03期

关键词：

acoustic emission; geoacoustic data; time-frequency analysis; sparse approximation; adaptive matching pursuit; EMISSION;

D O I：

10.1134/S106377102103009X

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

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).

引用

页码：312 / 319

页数：8

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