A Recognition Algorithm of Seismic Signals Based on Wavelet Analysis

被引:3
|
作者
Jiang, Wensheng [1 ,2 ]
Ding, Weiwei [1 ,2 ]
Zhu, Xinke [2 ]
Hou, Fei [2 ]
机构
[1] Shanghai Jiao Tong Univ, Sch Oceanog, Shanghai 200240, Peoples R China
[2] Minist Nat Resources, Inst Oceanog 2, Hangzhou 310012, Peoples R China
基金
国家重点研发计划;
关键词
seismic signal; wavelet analysis; power distribution; recognition algorithm; PHASE IDENTIFICATION;
D O I
10.3390/jmse10081093
中图分类号
U6 [水路运输]; P75 [海洋工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
In order to meet the requirements of mobile marine seismometers to observe and record seismic signals, a study of fast and accurate seismic signal recognition was carried out. This paper introduces the use of the wavelet analysis method for seismic signal processing and recognition, and compares and analyzes the abilities of different wavelet basis functions to detect the seismic signal. By denoising and reconstructing the signal, the distribution law of the wavelet coefficients of seismic signal at different scales was obtained. On this basis, this paper proposes an identification model of seismic signals based on wavelet analysis and thereby solves the conflict between high speed and high accuracy of seismic signal recognition methods. In this study, the simulation was carried out in the Matlab2020b environment, and the feasibility of wavelet recognition algorithm was proven by applying this algorithm to the seismic signal database for experimental verification.
引用
收藏
页数:15
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