摘要
随着时频分析方法的发展,生产研究上对复杂信号的时频分析有了更高的要求。这里简要介绍了希尔伯特—黄变换的原理和实现步骤,然后对合成信号进行经验模态分解(EMD)和希尔伯特谱分析,进而将HHT方法运用到实际地震信号的时频分析中。在此基础上,运用经验模态分解对合成地震信号进行了阀值去噪,证明了该去噪方法的有效性。
With the development of time-frequency analysis,higher feasibility and accuracy on production has been required for complex signal.Firstly,the time-frequency analysis method of Hilbert-Huang transform and conception of transient frequency are introduced.The empirical mode decomposition and time？frequency distribution of a compound signal is carried on and then the actual seismic data were analyzed and processed based on Hilbert-Huang transform（HHT）spectrum.A time-frequency filtering method based on the transform is used by tasting on a synthetic seismic records example.The result proves its effectiveness.
出处
《物探化探计算技术》
CAS
CSCD
2016年第1期59-66,共8页
Computing Techniques For Geophysical and Geochemical Exploration
关键词
希尔伯特—黄变换
经验模态分解
地震信号
时频分析
时频滤波
Hilbert-Huang transform
empirical mode decomposition
seismic signals
time-frequency analysis
time-frequency filtering
