步长自适应ICA在地震信号去噪中的应用

英文篇名：Application of adaptive step size independent component analysis to seismic signal denoising
中文刊名：计算机工程与应用
英文刊名：Computer Engineering and Applications
作者：张银雪 ; 田学民
英文作者：ZHANG Yinxue ; TIAN Xuemin College of Information and Control Engineering ; China University of Petroleum ; Dongying ; Shandong 257061 ; China
中文关键词：叠前地震记录 ; 去噪 ; 独立分量分析 ; 相对梯度算法 ; 变步长
英文关键词：prestack seismic record ; denoising processing ; independent component analysis ; relative gradient algorithm ; variable step size
出版日期：2011-11-01
机构：中国石油大学信息与控制工程学院;
年：2011
期：31
出版单位：计算机工程与应用

摘要

提出一种基于改进相对梯度独立分量分析(ICA)的叠前地震信号去噪方法。建立ICA的步长函数与信号相依性测度之间的非线性关系,根据信号的分离状态自适应调节步长函数;在分离矩阵的更新公式中引入动量项,削弱步长函数快速减小对分离矩阵更新的影响;将改进ICA模型应用于叠前地震信号去噪处理中。实验结果表明,改进的变步长ICA算法可以有效地压制叠前地震记录中的随机噪声,并且能很好地保护有效地震信号。
An improved approach based on the modified relative gradient Independent Component Analysis(ICA) is proposed for prestack seismic denoising in this paper.Firstly,this method establishes a nonlinear relationship between the step size function and the measure of signal dependence.This algorithm can adjust the step size function adaptively.On the other hand,it adds a momentum to the separating matrix.The momentum can diminish the effect of the step size function's sharp reduction.Finally,it uses the modified ICA model to reduce prestack seismic random noise.Experimental results demonstrate that the proposed ICA method has good effect on removing random noise in prestack seismic record.In addition,the proposed method can protect the available seismic signal effectively.

引文

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