摘要
利用信号和噪声在小波域内的小波系数的差异,实现小波去噪,将地震数据矩阵变换到小波域内,认为在低频部分集中信号小波系数,而高频部分集中噪声小波系数,且信号的小波系数幅值远大于噪声小波系数幅值,使用小波阈值算法对信噪进行分离.
Using of different wavelet coefficients of signal and noise in wavelet domain,we realize the waveletdomain denoising algorithm. With the seismic data matrix transformed to the wavelet domain,we often thinkthat low frequency part concentrates signal wavelet coefficients,and high frequency part concentrates noisewavelet coefficients. Meanwhile,the amplitude of signal wavelet coefficients are often far outweigh the ampli-tude of noise wavelet coefficients. So wavelet threshold can easily achieve the separation of signal and noise.
出处
《淮北师范大学学报（自然科学版）》
CAS
2016年第3期43-46,共4页
Journal of Huaibei Normal University：Natural Sciences
关键词
小波域
小波系数
小波阈值
wavelet domain
wavelet coefficients
wavelet threshold
