宁夏大学学报（自然科学版）2017，Vol.38Issue(4)：347-352,6.
基于低冗余度曲波变换的三维地震信号处理
Three-dimensional Seismic Denoising Based on Low Redundancy Curvelet Transform
摘要
Abstract
Contamination of seismic signal with noise is one of the main challenges during seismic data processing.Based on sparse transform method,the seismic signals are sparse expressed in the transform domain.According to the different performance of signal and noise in the transform domain,threshold method is used to realize interpolation and denoising.A low redundancy 3D curvelet transform is introduced,and it is applied to interpolation and denoising of seismic signals.Numerical results show that the conversion is low redundancy,and the calculation speed is increased about four times when the curvelet transform has good numerical effect on seismic signal processing.关键词
curvelet变换/去噪/低冗余度/稀疏优化Key words
curvelet transform/denoising/low redundancy/rarefaction optimization分类
天文与地球科学引用本文复制引用
胡之英..基于低冗余度曲波变换的三维地震信号处理[J].宁夏大学学报（自然科学版）,2017,38(4):347-352,6.基金项目
国家自然科学基金资助项目(41204075) （41204075）
