Application of S-transform threshold filtering in Anhui experiment airgun sounding data de-noising

As a relatively new method of processing non-stationary signal with high time-frequency resolution, S transform can be used to analyze the time-frequency characteristics of seismic signals. It has the following characteristics: its time-frequency resolution corresponding to the signal frequency, rev...

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Main Authors: Chenglong Zheng, Xiaofeng Tian, Zhuoxin Yang, Shuaijun Wang, Zhenyu Fan
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2018-07-01
Series:Geodesy and Geodynamics
Online Access:http://www.sciencedirect.com/science/article/pii/S1674984717300976
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spelling doaj-097d2a2db0f14d5c91d4a7764cd715e62021-02-02T02:40:30ZengKeAi Communications Co., Ltd.Geodesy and Geodynamics1674-98472018-07-0194320327Application of S-transform threshold filtering in Anhui experiment airgun sounding data de-noisingChenglong Zheng0Xiaofeng Tian1Zhuoxin Yang2Shuaijun Wang3Zhenyu Fan4Corresponding author.; Geophysical Exploration Center, China Earthquake Administration, Zhengzhou 450002, ChinaGeophysical Exploration Center, China Earthquake Administration, Zhengzhou 450002, ChinaGeophysical Exploration Center, China Earthquake Administration, Zhengzhou 450002, ChinaGeophysical Exploration Center, China Earthquake Administration, Zhengzhou 450002, ChinaGeophysical Exploration Center, China Earthquake Administration, Zhengzhou 450002, ChinaAs a relatively new method of processing non-stationary signal with high time-frequency resolution, S transform can be used to analyze the time-frequency characteristics of seismic signals. It has the following characteristics: its time-frequency resolution corresponding to the signal frequency, reversible inverse transform, basic wavelet that does not have to meet the permit conditions. We combined the threshold method, proposed the S-transform threshold filtering on the basis of S transform time-frequency filtering, and processed airgun seismic records from temporary stations in “Yangtze Program” (the Anhui experiment). Compared with the results of the bandpass filtering, the S transform threshold filtering can improve the signal to noise ratio (SNR) of seismic waves and provide effective help for first arrival pickup and accurate travel time. The first arrival wave seismic phase can be traced farther continuously, and the Pm seismic phase in the subsequent zone is also highlighted. Keywords: S transform, Time-frequency filtering, Airgun data, Threshold filtering, De-noisinghttp://www.sciencedirect.com/science/article/pii/S1674984717300976
collection DOAJ
language English
format Article
sources DOAJ
author Chenglong Zheng
Xiaofeng Tian
Zhuoxin Yang
Shuaijun Wang
Zhenyu Fan
spellingShingle Chenglong Zheng
Xiaofeng Tian
Zhuoxin Yang
Shuaijun Wang
Zhenyu Fan
Application of S-transform threshold filtering in Anhui experiment airgun sounding data de-noising
Geodesy and Geodynamics
author_facet Chenglong Zheng
Xiaofeng Tian
Zhuoxin Yang
Shuaijun Wang
Zhenyu Fan
author_sort Chenglong Zheng
title Application of S-transform threshold filtering in Anhui experiment airgun sounding data de-noising
title_short Application of S-transform threshold filtering in Anhui experiment airgun sounding data de-noising
title_full Application of S-transform threshold filtering in Anhui experiment airgun sounding data de-noising
title_fullStr Application of S-transform threshold filtering in Anhui experiment airgun sounding data de-noising
title_full_unstemmed Application of S-transform threshold filtering in Anhui experiment airgun sounding data de-noising
title_sort application of s-transform threshold filtering in anhui experiment airgun sounding data de-noising
publisher KeAi Communications Co., Ltd.
series Geodesy and Geodynamics
issn 1674-9847
publishDate 2018-07-01
description As a relatively new method of processing non-stationary signal with high time-frequency resolution, S transform can be used to analyze the time-frequency characteristics of seismic signals. It has the following characteristics: its time-frequency resolution corresponding to the signal frequency, reversible inverse transform, basic wavelet that does not have to meet the permit conditions. We combined the threshold method, proposed the S-transform threshold filtering on the basis of S transform time-frequency filtering, and processed airgun seismic records from temporary stations in “Yangtze Program” (the Anhui experiment). Compared with the results of the bandpass filtering, the S transform threshold filtering can improve the signal to noise ratio (SNR) of seismic waves and provide effective help for first arrival pickup and accurate travel time. The first arrival wave seismic phase can be traced farther continuously, and the Pm seismic phase in the subsequent zone is also highlighted. Keywords: S transform, Time-frequency filtering, Airgun data, Threshold filtering, De-noising
url http://www.sciencedirect.com/science/article/pii/S1674984717300976
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