摘要
依据不同性质的地震信号(反射波、折射波、直达波、面波、VSP上\下行波、多次波、随机干扰等)之间在运动学、视速度和相干性上的差异,借助某种数学变换、SVD分解与重构联合、时域与频域结合的方式,通过这些间接的处理手段,把要提取的目标信号或要剔除的干扰信号转换到一种相干性更好的空间域中,再进行SVD分解与重构,最充分利用SVD滤波技术特点,实现地震波场分离与去噪,而不是直接对信号进行SVD分解与重构来实现地震波场分离与去噪,这样做可有效地避免以往对SVD波场分离与去噪技术应用空间狭窄、有效信号损失严重等缺陷性.
Based on the differences of propagation characteristics, apparent velocity and coherence in seismic signals for different waves （reflected wave, refracted wave, direct wave, surface wave, up and doen waves of VSP, multiply wave, random signal and so on） , we can transform the singals, which we want to distill or reject to, to one kind of spatial domain with better coherence by some mathematical technique with combined time-frequency domains. Then carrying on the SVD decomposition and restructuring again, we can achieve the seismic wave field separation and denoising. But it is distinguishing obviously with carrying on SVD directly to the seismic wave field separation and denoising. This may avoid the flaws that the technology of wave field separation and denoising via SVD is applicated narrowly and the desired signal loses seriously and so on.
出处
《地球物理学进展》
CSCD
北大核心
2010年第1期225-230,共6页
Progress in Geophysics
基金
国家"863"计划项目(2007AA06Z103)
交通部科技项目(200731881262)
陕西省科学基础研究计划项目(2007D04)联合资助
关键词
奇异值分解(SVD)
地震波场分离与去噪
线性变换
频域数据处理
singular value deeomposition（SVD）, seismic wave field separation and denoising, linear transforming, data processing in frequency domain
