Time-Frequency Analysis of Seismic Data Using Synchrosqueezing Transform

被引：123
|
作者：
Wang, Ping [1 ]
Gao, Jinghuai [1 ]
Wang, Zhiguo [1 ]
机构：
[1] Xi An Jiao Tong Univ, Sch Elect & Informat Engn, Inst Wave & Informat, Xian 710049, Peoples R China
来源：
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS | 2014年 / 11卷 / 12期
基金：
中国国家自然科学基金;
关键词：
Seismic data processing; synchrosqueezing transform (SST); time-frequency representation;
D O I：
10.1109/LGRS.2014.2317578
中图分类号：
P3 [地球物理学]; P59 [地球化学];
学科分类号：
0708 ; 070902 ;
摘要：
Time-frequency analysis can provide useful information in seismic data processing and interpretation. An accurate time-frequency representation is important in highlighting subtle geologic structures and in detecting anomalies associated with hydrocarbon reservoirs. The popular methods, like short-time Fourier transform and wavelet analysis, have limitations in dealing with fast varying instantaneous frequencies, which is often the characteristic of seismic data. The synchrosqueezing transform (SST) is a promising tool to provide a detailed time-frequency representation. We apply the SST to seismic data and show its potential to seismic signal processing applications.
引用
收藏
页码：2042 / 2044
页数：3
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