摘要
提高信噪比是地震信号数字处理的主要任务.研究了几种常用的小波去噪方法在地震信号中去除随机噪声的应用,分析了各自的特点,并改进了算法.通过MATLAB的仿真结果表明,小波变换的去噪效果明显优于传统的Fourier变换方法.
Priority should be put on improving the signal-to-noise ratio in the digital processing of the seismic signals. The writers studied the application of some commonly used wavelet noise elimination methods to remove the random noise, and respectively analyzed their characteristics and improved the calculating methods. The simulation results of MATLAB show that the noise elimination processing of seismic signals based on wavelet transform is apparently better than the traditional Fourier method.
出处
《宁德师专学报（自然科学版）》
2009年第4期376-378,390,共4页
Journal of Ningde Teachers College(Natural Science)
作者简介
吴良峰（1986-），男，硕士研究生，福建泉州人，现从事信号信息处理研究工作．E-mail：515506667@qq．com
