金属拉伸实验数据小波变换数字滤波方法研究

小波变换具有良好的时频局部化能力。当采用小波变换对金属拉伸实验数据进行数字滤波时,不但能滤除干扰信号,而且能很好的保留信号的突变部分,体现信号原貌,这一功能是傅里叶变换所无法比拟的。通过比较傅里叶变换与小波变换对金属拉伸实验数据的滤波结果,表明采用小波变换处理含噪的实验数据,具有良好效果。

Research on Wavelet Transform Digital Filter Method in Metal Tensile Test Data

The wavelet transform had good ability of time-frequency localization. When the wavelet transform used to digital filter in metal tensile test data, it not only can filter the interfering signal, but also can retain mutant signal and reflect original signal. The function had obvious advantages than the Fourier transform. By comparing the filter result of metal tensile test data with Fourier transform and wavelet transform, that it had remarkable effect by using wavelet transformation to the noise test data.