Improved random noise attenuation usingf-x empirical mode decomposition and local similarity

Improved random noise attenuation usingf-x empirical mode decomposition and local similarity

Gan Shu-Wei;Wang Shou-Dong;Chen Yang-Kang;Chen Jiang-Long;Zhong Wei;Zhang Cheng-Lin

【期刊名称】《应用地球物理（英文版）》 【年(卷),期】2016(013)001

【摘要】Conventional f–x empirical mode decomposition (EMD) is an effective random noise attenuation method for use with seismic profi les mainly containing horizontal events. However, when a seismic event is not horizontal, the use off–x EMD is harmful to most useful signals. Based on the framework off–x EMD, this study proposes an improved denoising approach that retrieves lost useful signals by detecting effective signal points in a noise section using local similarity and then designing a weighting operator for retrieving signals. Compared with conventionalf–x EMD,f–x predictivefi ltering, andf–x empirical mode decomposition predictivefi ltering, the new approach can preserve more useful signals and obtain a relatively cleaner denoised image. Synthetic andfi eld data examples are shown as test performances of the proposed approach, thereby verifying the effectiveness of this method. 【总页数】8页(127-134) 【关键词】

【作者】Gan Shu-Wei;Wang Shou-Dong;Chen Yang-Kang;Chen Jiang-