钢索检测信号降噪处理的小波分析

Steel Cables Examination Signal Denoising Based on Wavelet Transform

介绍了小波分析的理论基础以及用于含噪信号降噪的基本方法,给出了常用的三种小波函数和尺度函数。作为工程实际应用,我们对某在役斜拉桥拉索的检测数据进行降噪处理,分别用Haar小波、db小波和sym小波进行信号分解,采取默认阈值的方法进行降噪处理,然后重构降噪后的信号。最后指出了小波属性对降噪结果的影响。

Introduced an wavelet analytical theories and used for the denoising method that noised signal. Based on three kinds of the wavelet functions and the scaling functions in common use and be the actual application of engineering, the examination signal of the steel cables was denoised. Used the Haar wavelet, sym4 wavelet and db4 wavelet, the signal was carry on decomposition respectively. To depress noise, the method that default the threshold value wae used. Then, the signal denoised was reconstructed. Finally, the fact that the character of wavelets influence the denoised result were pointed out.