摘要
本文阐述了小波变换和去噪的基本原理,根据模拟信号和实际地震信号的频谱分析,讨论了如何选择小波基,及去噪中的阈值问题,从小波分解出发,利用多尺度分解对地震资进行分析,并基于MATLAB语言和小波工具箱,实现了对地震资料的去噪.
The basic principle of the wavelet transform denoising was explained in this paper, According to the spectrum analysis of the analog signal and actual seismic signal, how to select the wavelet base and threshold in denoising were discussed. Started from the wavelet decomposition, the multi-scale decomposition was used to analyze the seismic data. Based on the Matlab language and its toolbox, the denoising to seismic data was fulfilled.
出处
《地球物理学进展》
CSCD
北大核心
2006年第2期541-545,共5页
Progress in Geophysics
基金
湖南省科技计划项目(04FJ4061)资助
关键词
数字信号处理
去噪
小波基
多尺度分解
地震数据
digital signal processing, denoising
wavelet base, multi-scale decomposition, seismic data
