摘要
本文针对实验数据体的特征和各去噪方法的适用条件,有针对性的选取一维小波变换方法去除地震数据噪声,通过对四种阈值量化方法和六种小波函数进行实验计算和效果分析,得到了合适的小波函数和阈值量化方法。研究结果表明:一维小波变换对地震数据具有一定的去噪效果,可有效抑制噪声,保护和补偿有效信号。
Based on the characteristics of the experimental data and the applicative conditions of various denoising methods,specifically selecting one-dimensional wavelet transform to remove noise; through four kinds of threshold quantization methods and six kinds of wavelet functions experimenting and analysing,obtaining the appropriate wavelet function and threshold quantization method,The results showed that one dimensional wavelet transform had the effect for the denoising of seismic data,achieveding to maximize the purpose of noise suppression,protection and compensation for a valid signal.
出处
《华北科技学院学报》
2016年第2期90-93,共4页
Journal of North China Institute of Science and Technology
关键词
一维小波变换
小波函数
阈值量化方法
One-dimensional wavelet transform
wavelet function
threshold quantization method