摘要
针对奇异值分解(SVD)算法对非水平同相轴去噪效果不佳的问题,提出一种基于Hankel矩阵的SVD去噪算法,构造二维地震数据模型对此算法进行验证。将此算法与传统SVD算法进行比较,可知Hankel矩阵算法明显改善了非水平同相轴去噪效果,可以用于实际数据处理。但此算法在处理混合数据时也会对水平同相轴造成一定伤害。
Aiming at the problem that the SVD decomposition algorithm does not have a good effect on the non-horizontal phase axis.A denoising algorithm which improved SVD algorithm based on Hankel matrix was proposed.A 2-dimensional seismic data model was constructed to validate the algorithm.Compared this algorithm with the traditional SVD algorithm,it can be seen that the Hankel matrix algorithm can obviously improve the denoising effect of non-horizontal phase axis,and can be used in actual data processing.But the algorithm also does some damage to the horizontal phase axis in processing the mixed data.
作者
崔少华
单巍
方振国
CUI Shaohua;SHAN Wei;FANG Zbenguo(School of Physics and Electronic Information, Huaibei Normal University, Huaibei 235000, Anhui, Chin)
出处
《实验室研究与探索》
CAS
北大核心
2018年第2期32-34,共3页
Research and Exploration In Laboratory
基金
安徽省高等学校自然科学研究项目(KJ2017B008)
淮北师范大学质量工程项目(jy2016132
jy2016133)
