节点文献
基于小波变换的地震信号去噪方法研究
Noise elimination processing of seismic signals based on wavelet transform
【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.
【Abstract】 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.
【关键词】 地震信号;
小波变换;
随机噪声;
降噪;
MATLAB仿真;
【Key words】 seismic signal; wavelet transform; random noise; noise decrease; MATLAB simulation;
【Key words】 seismic signal; wavelet transform; random noise; noise decrease; MATLAB simulation;
- 【文献出处】 宁德师专学报(自然科学版) ,Journal of Ningde Teachers College(Natural Science) , 编辑部邮箱 ,2009年04期
- 【分类号】P315.61
- 【被引频次】2
- 【下载频次】166