改进的小波变换算法在地震数据降噪处理中的应用

英文篇名：Application of Improved Wavelet Transformation Algorithm in Seismic Data Denoising
中文刊名：软件
英文刊名：Software
作者：李艳飞 ; 秦飞龙 ; 周仲礼
英文作者：LI Yan-fei 1 ; QIN Fei-long 1 ; 2 ; ZHOU zhong-li 1 1(College of Management Science ; Chengdu University of Technology ; Chengdu 610059 ; China) 2(The Key Laboratory of Mathematical Geology in Sichuan ; Chengdu 610059 ; China)
中文关键词：降噪 ; Mallat算法 ; FASTICA算法
英文关键词：】Noise Reduction ; Mallat algorithm ; FASTICAalgorithm
出版日期：2013-06-15
机构：成都理工大学管理科学学院;四川省数学地质重点实验室;
年：2013
期：06
出版单位：软件

摘要

根据小波变换原理及小波变换分频特性,提出了一种地震数据降噪处理的改进的小波变换算法。首先将地震数据通过小波变换分解为不同频带上的数据,然后把不同频带的信号进行小波阈值法处理,并进一步对不同频带数据进行FASTICA降噪处理,提取出与源信号相关信息,最后通过小波重构估计源信号。通过改进的小波算法对实际地震数据进行降噪处理,结果表明改进的小波算法能有效消除大量干扰信息,去噪后的地震数据分辨率高。
Acoording to the principle of wavelet transformation and the characteristics of dividing frequency,the passage proposed an improved noise reduction processing seismic data wavelet transform algorithm.In the first place,seismic data is decomposed into data on different frequency bands by wavelet transform.Then the signal of different frequency bands is manipulated by wavelet threshold method,which is further processed by FASTICA to extract the relevant information of the original signal.Finally the wavelet reconstruction estimste the original signal.The actual seismic data is denoised by the improved wavelet algorithm and the results show that the improved algorithm can effectively eliminate a large number of wavelet interference information,the resolution of denoised seismic data is higher.【

引文

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