Application of S-transform threshold filtering in Anhui experiment airgun sounding data de-noising
Application of S-transform threshold filtering in Anhui experiment airgun sounding data de-noising
复制标题
S变换阈值滤波在安徽实验气枪探空数据去噪中的应用
DOI：
10.1016/j.geog.2017.07.004
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发表时间：
2017-10
影响因子：
2.4
通讯作者：
Zhenyu Fan
中科院分区：
文献类型：
--
作者：
Chenglong Zheng;Xiaofeng Tian;Zhuoxin Yang;Shuaijun Wang;Zhenyu Fan
S变换作为一种较新的具有高时频分辨率的非平稳信号处理方法，可以用来分析地震信号的时频特征。它具有以下特点：其时频分辨率与信号频率相对应，逆变换可逆，基本小波不需要满足许可条件。结合阈值法，在S变换时频滤波的基础上提出了S变换阈值滤波，并对“长江计划”（安徽试验）中的临时台气枪地震记录进行了处理。与带通滤波的结果相比，S变换阈值滤波可以提高地震波的信噪比，为初至拾取和走时精确提供有效的帮助。初至波地震相可以连续追踪得更远，后续带的Pm地震相也得到了突出显示。
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.
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影响因子：
3.3
作者：
G. Tselentis;N. Martakis;P. Paraskevopoulos;A. Lois;E. Sokos
通讯作者：
G. Tselentis;N. Martakis;P. Paraskevopoulos;A. Lois;E. Sokos
影响因子：
2.6
作者：
R. Askari;H. Siahkoohi
通讯作者：
R. Askari;H. Siahkoohi
DOI：
--
发表时间：
2011
期刊：
--
影响因子：
--
作者：
R. Askari;R. Ferguson;K. DeMeersman
通讯作者：
R. Askari;R. Ferguson;K. DeMeersman
影响因子：
3.3
作者：
R. Askari;R. Ferguson
通讯作者：
R. Askari;R. Ferguson
影响因子：
2.8
作者：
Schimmel, M.;Stutzmann, E.;Gallart, J.
通讯作者：
Gallart, J.