希尔伯特-黄变换在地震资料去噪中的应用  

Application of Hilbert-Huang Transformation to Noise Elimination of Seismic Data

作　　者：刘庆敏[1] 杨午阳[1] 田连玉[1] 徐云泽[1] 李琳[1] 

机构地区：[1]中国石油勘探开发研究院西北分院,兰州730020

出　　处：《新疆石油地质》2009年第3期333-336,共4页Xinjiang Petroleum Geology

摘　　要：希尔伯特-黄变换是最新发展起来的处理非线性非平稳信号的时频分析方法。介绍了该方法的基本原理、关键技术及其优势,将其应用于含随机噪音的地震信号的分解,结果表明,分解后的信号能够重构原始信号,这对地震资料的去噪有重要意义,值得进一步研究与推广。Hilbert-Huang transformation is a newly developed time-frequency analysis method for dealing with non-linear and non- stationary signals. This paper briefly introduces the basic principle, several key technology and advantage of Hilbert-Huang transformation. And its application to the decomposition of seismic signals with random noise shows that the original signals can be reconstructed with this method, being worthy of further research and popularization.

关 键 词：地震数据处理 信号 噪声 信噪比 

分 类 号：P631.44[天文地球—地质矿产勘探]