DATA DENOISING BASED ON EMD AND ITS APPLICATION TO GEOLOGICAL EXPLORATION
YI Hong-chun1, LIU Shu-cai1, HE Ke-sheng2, YAN Sai2, WANG Jian1
1. School of Resource and Geosciences, China University of Mining and Technology, Xuzhou 221116, China;
2. Xuzhou CUMT Exploration Technology Co., Ltd., Xuzhou 221008, China
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 denoising. 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 data processing.
易洪春, 刘树才, 贺克升, 闫赛, 王健. 基于EMD去噪方法研究及其在地质勘探中的应用[J]. 物探与化探, 2013, 37(3): 533-537.
YI Hong-chun, LIU Shu-cai, HE Ke-sheng, YAN Sai, WANG Jian. DATA DENOISING BASED ON EMD AND ITS APPLICATION TO GEOLOGICAL EXPLORATION. Geophysical and Geochemical Exploration, 2013, 37(3): 533-537.
[1] 闫赛.基于小波变换的瞬变电磁数据去噪研究.徐州:中国矿业大学,2011.[2] Huang N E,Shen Z,Long S R,et al.The empirical mode decomposition and the Hilbert spectrum for nonlinear and nonstationary time series analysis[M].Proc.R.Soc.Lond.A,1998,454:903-995.[3] 江莉,李林,董惠.基于改进EMD方法的多分量信号分析[J].振动与冲击,2009,28(4):52-54.[4] Haykin S. Communication Systems, 4th ed. Wiley, New York, 2001.[5] 李世雄,陈东方.信号瞬时参数计算方法评价们[J].信号处理,2003(11):114-117.[6] Hofmann-Wellenhof B, Lichtenegger H, Collins J. Global positioning system, theory and practice, 5th ed. Springer-Verlag, New York, 2001[7] 孟佐宏.水轮机调节系统参数辨识中试验数据的预处理方法[J].水电厂自动化,2010,31(4).[8] 安怀志.希尔伯特黄变换理论和应用的研究.哈尔滨:哈尔滨工程大学,2008.[9] 戴桂平,张愉,谢储晖.基于EMD时问尺度的去噪方法研究[J].苏州市职业大学学报,2007,18(2):58-60.[10] 于伟凯,刘彬.基于EMD的时间尺度去噪方法的研究[J].计量技术,2006(11):12-15.[11] 蔡剑华,汤井田,王先春.基于经验模态分解的大地电磁资料人文噪声处理[J].中南大学学报,2011,6(42) :631-635.
