基于多小波预测方法提高地震数据的信噪比

英文篇名：Improving the Signal-noise Ratio of Seismic Data by Orthogonal Multiwavelets Transformation and w—x Prediction Method
中文刊名：数学的实践与认识
英文刊名：Mathematics in Practice and Theory
作者：何文章 ; 马云飞 ; 吴爱弟
英文作者：HE Wen-zhang Ma Yun-fei WU Ai-di (Science and Technology Division ; Tianjin University of Technology and Education ; Tianjin 300222 ; China)
中文关键词：多小波变换 ; w-x预测滤波方法 ; 信噪比
英文关键词：muhiwavelet transform ; w—x prediction filter method ; signal-noise ratio
出版日期：2008-12-08
机构：天津工程师范学院科技处;
年：2008
期：23
出版单位：数学的实践与认识

摘要

基于二维小波变换把一个二元的地震数据变换为有关时间,空间,频率和波数的局部信息的特点,讨论了用正交多小波变换和w-x预测方法对地震数据进行去噪处理.先用阈值的方法做初步处理,再用预测方法进一步压制噪声,达到较好地提高地震数据信噪比的目的.数值试验表明该方法是有效的,能有效地消除随机干扰,具有很好的空间和时间自适应性.
Two dimension wavelet transform changes a binary seismic data into a function of time,space,frequency and wave number,supplying the local information of the seismic data in four aspects.Base on those,improving the S/N ratio of a seismic data is discussed by orthogonal multiwavelet transform and w—x prediction filter method.First,elementary process is done by wavelet thresholding,then suppressing noise of seismic record has been realized by applying w—x prediction filte method.Experimental results and practical application shows this method has quite good effect,better self-adaptability in space and time, and better denoising effect.

引文

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