基于经验模态分解与小波阈值的MT信号去噪方法  

A method for MT data denoising based on empirical mode decomposition and wavelet threshold

作　　者：蔡剑华[1] 王先春[1] 胡惟文[1] 

机构地区：[1]湖南文理学院信息研究所

出　　处：《石油地球物理勘探》2013年第2期303-307,332+161-162,共5页Oil Geophysical Prospecting

基　　金：国家"863"计划项目(2006AA06Z105);湖南文理学院博士启动项目(BSQD1008);湖南省重点建设学科--光学基金(2006年);湖南省自然科学基金青年项目(12JJ4034);常德市科技局项目(2011JC02)联合资助

摘　　要：针对低信噪比大地电磁数据的去噪问题,本文提出了一种基于经验模态分解的小波阈值去噪方法,并给出了方法原理和计算步骤;在与小波变换去噪效果对比的基础上,用仿真实验验证了方法的可靠性,并对安徽和内蒙某地实测数据进行了去噪处理。结果表明,本文提出的去噪方法是有效的,去噪后MT信号变得平稳,估算的响应曲线误差棒平均值减小,可为进一步的资料处理和地质解释提供保障。For denoising from low S/N magnetotelluric data,we introduce in the paper a denoising method based on empirical mode decomposition and wavelet threshold.The paper presents also the principle of method and the calculation steps.Comparing with wavelet transform,the simulation test results prove the reliability of the method.The method is applied in field data acquired from Anhui and Inner Mongolia.The results show that the noise removal method proposed in this paper is effective.MT data become steady after denoising,and the error bar average value of the estimated response curve is decreased,which provide a guarantee for further data processing and interpretation.

关 键 词：经验模态分解 小波阈值滤波 大地电磁 去噪 

分 类 号：P631[天文地球—地质矿产勘探]