Statistical Characterization of Seismic Signals

IF 1.3 3区 物理与天体物理 Q3 ACOUSTICS
Costas Smaragdakis, John Mastrokalos, Michael I. Taroudakis
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引用次数: 0

Abstract

This paper presents a study on the applicability of a method for the statistical characterization of seismic signals which is based on the statistics of their wavelet sub-band coefficients using α stable distributions. The method was originally applied to underwater acoustic signals of the type used in ocean acoustic tomography and seabed classification applications. The same protocol was applied to seismic signals representing the vertical displacement, measured on a traditional seismograph. The study showed that this process can indeed provide a means of characterizing a seismic signal and be used to estimate similarities between seismic signals, which is an important factor in studying seismic activity in an area.

地震信号的统计特征
本文研究了利用α稳定分布对地震信号的小波子带系数进行统计表征的适用性。该方法最初应用于海声层析成像和海底分类应用中使用的水声信号。同样的方法也适用于传统地震仪测量的代表垂直位移的地震信号。研究表明,这一过程确实可以提供一种表征地震信号的手段,并用于估计地震信号之间的相似性,这是研究一个地区地震活动的重要因素。
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来源期刊
Journal of Theoretical and Computational Acoustics
Journal of Theoretical and Computational Acoustics Computer Science-Computer Science Applications
CiteScore
2.90
自引率
42.10%
发文量
26
期刊介绍: The aim of this journal is to provide an international forum for the dissemination of the state-of-the-art information in the field of Computational Acoustics. Topics covered by this journal include research and tutorial contributions in OCEAN ACOUSTICS (a subject of active research in relation with sonar detection and the design of noiseless ships), SEISMO-ACOUSTICS (of concern to earthquake science and engineering, and also to those doing underground prospection like searching for petroleum), AEROACOUSTICS (which includes the analysis of noise created by aircraft), COMPUTATIONAL METHODS, and SUPERCOMPUTING. In addition to the traditional issues and problems in computational methods, the journal also considers theoretical research acoustics papers which lead to large-scale scientific computations.
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