SVD与小波变换相结合抑制面波与随机噪声

计算机工程与应用 ›› 2007, Vol. 43 ›› Issue (31): 182-184.

SVD与小波变换相结合抑制面波与随机噪声

李亚峻¹,李月²,杨宝俊¹,高颖¹

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

收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2007-11-01 发布日期:2007-11-01
通讯作者: 李亚峻

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

LI Ya－jun¹,LI Yue²,YANG Bao－jun¹,GAO Ying¹

1.College of Geoexploration Science and Technology,Jilin University,Changchun 130026,China
2.College of Communication Engineering,Jilin University,Changchun 130012,China

Received:1900-01-01 Revised:1900-01-01 Online:2007-11-01 Published:2007-11-01
Contact: LI Ya－jun

摘要/Abstract

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。

Abstract: 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．

李亚峻¹,李月²,杨宝俊¹,高颖¹. SVD与小波变换相结合抑制面波与随机噪声[J]. 计算机工程与应用, 2007, 43(31): 182-184.

LI Ya－jun¹,LI Yue²,YANG Bao－jun¹,GAO Ying¹. Suppression of surface wave and random noise by SVD and wavelet transform[J]. Computer Engineering and Applications, 2007, 43(31): 182-184.