{"title":"基于LMD和EMD方法的地震信号去噪研究","authors":"J. Yu, Ze Zhang","doi":"10.1109/IAEAC.2017.8054119","DOIUrl":null,"url":null,"abstract":"In the paper, the LMD (Local mean Decomposition) and EMD(Empirical Mode Decomposition) method are selected to denoise the sensible earthquake signal, the paper analyzes resulting conclusions and compares the denoising performance of the two methods. Experimental results show that the LMD and EMD can both achieve capabilities for denoising signals self-adaptively and improve the quality of signals with noise simultaneously. Two parameters, Correlation Coefficient (NC) and Signal to Noise Ratio(SNR), are adopted to evaluate performance of two algorithms. Corresponding data indicates that components obtained in the decomposition of the seismic signal using LMD have higher correlation degree than that using EMD, meanwhile, the filtered signal owns higher SNR value, all above of which show performance of LMD is slightly more superexcellent than that of the traditional EMD in terms of denoising for seismic signals.","PeriodicalId":432109,"journal":{"name":"2017 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Research on the seismic signal denoising with the LMD and EMD method\",\"authors\":\"J. Yu, Ze Zhang\",\"doi\":\"10.1109/IAEAC.2017.8054119\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the paper, the LMD (Local mean Decomposition) and EMD(Empirical Mode Decomposition) method are selected to denoise the sensible earthquake signal, the paper analyzes resulting conclusions and compares the denoising performance of the two methods. Experimental results show that the LMD and EMD can both achieve capabilities for denoising signals self-adaptively and improve the quality of signals with noise simultaneously. Two parameters, Correlation Coefficient (NC) and Signal to Noise Ratio(SNR), are adopted to evaluate performance of two algorithms. Corresponding data indicates that components obtained in the decomposition of the seismic signal using LMD have higher correlation degree than that using EMD, meanwhile, the filtered signal owns higher SNR value, all above of which show performance of LMD is slightly more superexcellent than that of the traditional EMD in terms of denoising for seismic signals.\",\"PeriodicalId\":432109,\"journal\":{\"name\":\"2017 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)\",\"volume\":\"14 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-03-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IAEAC.2017.8054119\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IAEAC.2017.8054119","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
摘要
本文选择LMD (Local mean Decomposition,局部均值分解)和EMD(Empirical Mode Decomposition,经验模态分解)方法对感震信号进行去噪,对得到的结论进行分析,并对两种方法的去噪性能进行比较。实验结果表明,LMD和EMD都能实现对信号的自适应去噪,同时提高含噪信号的质量。采用相关系数(NC)和信噪比(SNR)两个参数来评价两种算法的性能。相应的数据表明,利用LMD对地震信号进行分解得到的分量比利用EMD得到的分量具有更高的相关性,同时滤波后的信号具有更高的信噪比值,这些都表明LMD对地震信号的去噪性能略优于传统EMD。
Research on the seismic signal denoising with the LMD and EMD method
In the paper, the LMD (Local mean Decomposition) and EMD(Empirical Mode Decomposition) method are selected to denoise the sensible earthquake signal, the paper analyzes resulting conclusions and compares the denoising performance of the two methods. Experimental results show that the LMD and EMD can both achieve capabilities for denoising signals self-adaptively and improve the quality of signals with noise simultaneously. Two parameters, Correlation Coefficient (NC) and Signal to Noise Ratio(SNR), are adopted to evaluate performance of two algorithms. Corresponding data indicates that components obtained in the decomposition of the seismic signal using LMD have higher correlation degree than that using EMD, meanwhile, the filtered signal owns higher SNR value, all above of which show performance of LMD is slightly more superexcellent than that of the traditional EMD in terms of denoising for seismic signals.