摘要
传统的高密度电阻率信号多采用平均或线性平滑方法进行降噪,效果往往不够理想。本文通过建立低阻球体的正演模型,选取sym4小波作为降噪小波,并采用软阈值和分解层数为四层的降噪处理方法,对原始信号进行降噪,然后再对降噪后的曲线进行数据反提取,最终再利用高密度电阻率法反演软件(Res2dinv)进行反演,对比其反演结果表明,利用小波降噪后的效果比较理想。最后结合工程实例,验证了小波变换降噪技术的可行性和实用性。
Traditional de-noising mostly applies average or linear smoothing method to deal with high-density resistivity signal. However, the effect is not so good sometimes. By building the low resistivity sphere forward models, the article chooses the sym4 wavelet as the de-noising wavelet. And original signal noise is primely reduced on using the soft threshold value and four decomposition layers. Then the de-noising data are obtained inversely. Later the data are analyzed by the software of Res2dinv. The effect is very ideal through contrasting the results. Finally, the application of real project proves that the method is feasible and practical.
出处
《工程勘察》
CSCD
北大核心
2008年第1期72-74,共3页
Geotechnical Investigation & Surveying
关键词
小波变换
降噪方法
软阈值
高密度电阻率法
wavelet transform
de-noising
soft threshold value
high-density resistivity
