基于EMD去噪方法研究及其在地质勘探中的应用  

DATA DENOISING BASED ON EMD AND ITS APPLICATION TO GEOLOGICAL EXPLORATION

作　　者：易洪春[1] 刘树才[1] 贺克升 闫赛 王健[1] 

机构地区：[1]中国矿业大学资源与地球科学学院,江苏徐州221116 [2]徐州中矿勘探技术有限公司,江苏徐州221008

出　　处：《物探与化探》2013年第3期533-537,共5页Geophysical and Geochemical Exploration

基　　金：国家重点基础研究发展计划(973)项目(2013CB227900)

摘　　要：论述了EMD分解的基本原理,研究了利用EMD分解进行信号去噪的方法。EMD把信号按照不同的特征尺度分解为不同频带的IMF分量,将含有噪声的高频IMF分量剔除,选择低频或者指定频带的IMF进行信号重构,即可达到去噪的目的。仿真信号与实测数据的处理结果都表明,该方法不但有效地去除信号中的确定性噪声和随机噪声,而且尽可能地保持了有效信号,减少了信号损失,提高了数据处理的准确性。The method dealt with in this paper is very suitable for non-stationary nonlinear multi-component signal analysis. This paper discusses the basic principle of EMD, and studies a signal denoising method based on EMD. According to the different feature scales of EMD, the signal is decomposed into different frequency IMF components. Through deleting the high frequency IMF components full of noise and choosing the low frequency or the specified frequency IMF components, the signal can be reconstructed, thus achieving de- noising. The results of simulation signal and measured data both show that the method can not only effectively remove the deterministic or random noise but also preserve the effective signal as much as possible and reduce the signal loss, thus improving the accuracy of da- ta processing.

关 键 词：经验模式分解 时频分析 非平稳信号 去噪 

分 类 号：P631[天文地球—地质矿产勘探]