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基于小波分析的面波信号处理
Surface Wave Signal Denoising Based on Wavelet Analysis
【摘要】 面波勘探在矿井探测方面已经成为了一种有力的手段。采集到的面波信号由于受到噪声的干扰,在进行信号解析之前,去除噪声干扰是很有必要的。提出了一种新的基于自适应阈值的小波模极大值算法对面波信号去噪,关键是在每个分解尺度上选取合适的阈值,对小波变换系数的模极大值点进行筛选,相对传统的阈值选取,该方法达到了满意的去噪效果。
【Abstract】 Surface wave exploration has become a powerful tool in mine detection. Denoising is necessary before signal analysis because the collected signal is disturbed by noise. A new adaptive threshold based on wavelet modulus maxima de-noising algorithm is proposed, which can select the optimal threshold to filter the maxima at each decomposition scale compared with the traditional threshold. This method makes a good effect of denoising.
【关键词】 面波;
信号降噪;
模极大值;
自适应阈值;
【Key words】 surface wave; signal denoising; modulus maxima; adaptive threshold;
【Key words】 surface wave; signal denoising; modulus maxima; adaptive threshold;
- 【文献出处】 三明学院学报 ,Journal of Sanming University , 编辑部邮箱 ,2014年06期
- 【分类号】TN911.7
- 【下载频次】23