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...
| Main Authors: | , , , , |
|---|---|
| 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 |
| _version_ | 1818343897535873024 |
|---|---|
| author | Chenglong Zheng Xiaofeng Tian Zhuoxin Yang Shuaijun Wang Zhenyu Fan |
| author_facet | Chenglong Zheng Xiaofeng Tian Zhuoxin Yang Shuaijun Wang Zhenyu Fan |
| author_sort | Chenglong Zheng |
| collection | DOAJ |
| 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 |
| first_indexed | 2024-12-13T16:37:53Z |
| format | Article |
| id | doaj.art-097d2a2db0f14d5c91d4a7764cd715e6 |
| institution | Directory Open Access Journal |
| issn | 1674-9847 |
| language | English |
| last_indexed | 2024-12-13T16:37:53Z |
| publishDate | 2018-07-01 |
| publisher | KeAi Communications Co., Ltd. |
| record_format | Article |
| series | Geodesy and Geodynamics |
| spelling | doaj.art-097d2a2db0f14d5c91d4a7764cd715e62022-12-21T23:38:21ZengKeAi 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 |
| 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 |
| title | 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_short | 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 |
| url | http://www.sciencedirect.com/science/article/pii/S1674984717300976 |
| work_keys_str_mv | AT chenglongzheng applicationofstransformthresholdfilteringinanhuiexperimentairgunsoundingdatadenoising AT xiaofengtian applicationofstransformthresholdfilteringinanhuiexperimentairgunsoundingdatadenoising AT zhuoxinyang applicationofstransformthresholdfilteringinanhuiexperimentairgunsoundingdatadenoising AT shuaijunwang applicationofstransformthresholdfilteringinanhuiexperimentairgunsoundingdatadenoising AT zhenyufan applicationofstransformthresholdfilteringinanhuiexperimentairgunsoundingdatadenoising |