计算机应用研究2017，Vol.34Issue(6)：1737-1739,1744,4.DOI:10.3969/j.issn.1001-3695.2017.06.030
基于EMD-ICA的激电数据降噪处理方法
De-noising of IP data based on EMD-ICA
摘要
Abstract
Aiming at traditional de-noising method may fail to remove noise from induced polarization (IP) data.This paper proposed a new de-noising method based on empirical mode decomposition (EMD) and independent component analysis (ICA).Firstly,EMD can self-adaptively decompose data into finite intrinsic mode functions (IMFs).Secondly,this paper constructed virtual noise channel according to the correlation between IMF and excitation signal.Finally,it used ICA to extract the effective IP signal.Eventually,this paper applied its method to de-noising in simulation and actual IP data.And by comparing the proposed method with those of traditional filter algorithm and wavelet threshold algorithm,the results verify the effectiveness of the proposed method in de-noising of IP data.关键词
激发极化法/数据降噪处理/经验模态分解/独立分量分析/虚拟噪声通道Key words
induced polarization/data de-noising processing/EMD/ICA/virtual noise channel分类
信息技术与安全科学引用本文复制引用
徐信,李志华,杨越..基于EMD-ICA的激电数据降噪处理方法[J].计算机应用研究,2017,34(6):1737-1739,1744,4.基金项目
国家自然科学基金资助项目(61503350) （61503350）
