江苏大学学报（自然科学版）2017，Vol.38Issue(2)：192-196,5.DOI:10.3969/j.issn.1671-7775.2017.02.012
基于C-WNNM的地震随机噪声压制方法
Seismic random noise suppression based on C-WNNM method
摘要
Abstract
To solve the reorganization problem of seismic events with low signal to noise ratio, the weighted nuclear norm minimization (C-WNNM) method was proposed to suppress the random noise in seismic data.The low rank approximation theory was presented based on WNNM.The low rank approximate matrices were constructed according to the similar characteristics of seismic signals in time and space domain.The IMF1 component obtained from CEEMD decomposition was used to estimate the local noise variance and lead to more accurate weights.The final denoising signal was obtained by iterative approximation.The C-WNNM method was used to process the simulated seismic exploration data generated by ricker wavelets.The results show that the proposed method can remove random noise effectively and preserve the effective signals well in the presence of strong noise in seismic data.The signal to noise ratio filtered by C-WNNM is promoted by about 3 dB than original WNNM.关键词
C-WNNM/最小加权核范数/低秩逼近/信噪比/CEEMD/IMF1分量Key words
C-WNNM/weighted nuclear norm minimization/low rank approximation/signal to noise ratio/CEEMD/IMF1 component分类
天文与地球科学引用本文复制引用
王代香,李娟,孟可心..基于C-WNNM的地震随机噪声压制方法[J].江苏大学学报（自然科学版）,2017,38(2):192-196,5.基金项目
国家自然科学基金资助项目(41574096) （41574096）
