SVD与小波变换相结合抑制面波与随机噪声  

Suppression of surface wave and random noise by SVD and wavelet transform.

作　　者：李亚峻[1] 李月[2] 杨宝俊[1] 高颖[2] 

机构地区：[1]吉林大学地球探测科学与技术学院,长春130026 [2]吉林大学通信工程学院,长春130012

出　　处：《计算机工程与应用》2007年第31期182-184,195,共4页Computer Engineering and Applications

基　　金：国家自然科学基金(the National Natural Science Foundation of China under Grant No.40574051)

摘　　要：为了从含强面波干扰和随机噪声的地震记录中提取有效信号,将每条面波同相轴旋转为水平后,用奇异值分解(SVD)方法恢复出来,再从原始地震记录中消除面波,最后用小波变换方法滤除部分随机噪声。根据同相轴走向与SVD第一奇异值、第二奇异值之间的关系,提出了一种新的判别最佳面波同相轴走向的依据,并用于处理合成地震记录,有效地去除了面波。In order to gain effective signal from synthetic seismogram disturbed by random noise and strong surface wave,this paper,to start with,recovers surface wave event by the method of Singular Value Decomposition （SVD）.After eliminating surface wave from synthetic seismogram,the method of wavelet transform is used for suppressing partial random noise.By means of relationship among event trend,first and second singular value of SVD,a new method is introduced to determine the optimal slope of the surface wave.We show that it is effective to process the synthetic seismogram.

关 键 词：奇异值分解(SVD) 小波变换 面波 随机噪声 地震记录 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]