基于小波变换的最小光滑滤波去噪  

Noise attenuation using minimum smooth filter based on wavelet transform.

作　　者：王振国[1] 周熙襄[1] 李晶[1] 

机构地区：[1]成都理工大学

出　　处：《石油地球物理勘探》2002年第6期594-600,660,共7页Oil Geophysical Prospecting

摘　　要：在地震勘探中 ,随机噪声是一种频带较宽、严重影响有效波的干扰波。常用的一维去噪方法效果都不理想。小波变换是一种时频分析方法 ,根据它的分频和局部分析能力 ,结合一维方向上去噪的光滑滤波 ,能有效地消除随机干扰 ,并且能保证有效波的中、高频成分 ,经过小波包重构 ,可恢复有效波信号。该方法优于常规一维去噪方法。In seismic exploration,the random noise is an interference wave that has broad band and deteriorates signal to noise ratio of signal. The common used 1 D noise eliminated methods have poor effects. The wavelet transform is a time frequency analysis method,which can effectively eliminate random interference and preserve high and middle frequency components of siqnal according to its frequency shared and local analyzed ability and combining with noise suppression using smooth filter in 1 D direction. After wavelet packet reconstruction,it can restore the signal of useful waves. The method is superior to ordinary 1 D noise suppression method.

关 键 词：小波变换 最小光滑滤波去噪 地震勘探 随机噪声 随机噪声 傅里叶变换 

分 类 号：P631.443[天文地球—地质矿产勘探]