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作 者:曹小玲[1,2,3] 严良俊 蒋涛[1,2] CAO Xiaoling;YAN Liangjun;JIANG Tao(Key Laboratory of Exploration Technologies for Oil and Gas Resources of the Ministry in Education,Yangtze University,Wuhan 430100,China;Hubei Cooperation Innovation Center of Unconventional Oil and Gas,Wuhan 430100,China;School of Information and Mathematics,Yangtze University,Jingzhou 434023,China)
机构地区:[1]长江大学油气资源与勘探技术教育部重点实验室,湖北武汉430100 [2]非常规油气湖北省协同创新中心,湖北武汉430100 [3]长江大学信息与数学学院,湖北荆州434023
出 处:《煤田地质与勘探》2018年第2期164-172,共9页Coal Geology & Exploration
基 金:国家自然科学基金项目(41274082;U1562109);长江大学长江青年基金项目(2015cqn76);长江大学重磁电勘探研究中心创新基金项目(7011201803xm)~~
摘 要:为了消除大地电磁测深数据中的工频干扰,提出基于DWT-EEMD的盲源算法,利用DWT、EEMD和盲源分离的优良特性,在进行DWT和EEMD处理之后再进行盲源分离以消除噪声。该方法主要优势在于DWT-EEMD模型的采用和自适应权重因子的引入,在降低独立分量分析算法对恢复信号的幅值的不确定性的同时,使得在工频干扰噪声的幅值高于原始信号很多的情况下依然能较好地分离出原始信号。通过对实测大地电磁信号进行处理后发现,该方法使视电阻率曲线和相位曲线均变得平滑而稳定,较好地消除了大地电磁信号中的工频干扰噪声。The blind source separation algorithm based on DWT-EEMD used in noise elimination of power line interference for magnetotellmic is put fom ard in this paper.This method takes advantage of the excellent characteristics of DWT,EEMD and blind source separation,and adopts blind source separation to eliminate the noise after DWT and EEMD processing.The main advantage of this method lies in the DWT-EEMD model adopted and the introduction of the adaptive weighting factor,in reducing uncertainty of restored signal amplitude by independent component analysis algorithm at the same time,it has made the original signals still be well separated in condition of power frequency interference noise amplitude much higher than original signal amplitude.By the real magnetotelluric signal processing,it is showed that this method makes apparent resistivity curve and phase curve both become smooth and steady,and it better eliminates the power line interference noise in magnetotelluric signal.
分 类 号:P631[天文地球—地质矿产勘探]
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