Abstract: The vibration wheel acceleration of vibratory roller is an important parameter in the detecting road compaction， so in the process of detecting acceleration signal by way of sensor，the accuracy of acceleration signal is so essential． In the past，Fourier transform was the main treatment in the data processing of acceleration signal． Comparative analysis shows that there are some limitations，fairly practical wavelet analysis is used to get the data de-noising and reconstruction，according to the results，it is confirmed that wavelet analysis has special advantages in signal de-noising．

Key words: vibration acceleration, signal processing, wavelet de-noising

摘要： 振动压路机振动轮加速度是检测路面压实度的重要参数，因此在用传感器检测加速度信号的过程中，加速度 信号的准确性显得至关重要。在以往的加速度信号数据处理中傅里叶变化是主要的处理方法，通过对比分析可知 傅里叶变换存在着一定的局限性，而采用比较实用的小波分析方法对数据进行去噪重构，通过分析证实小波分析 在信号的去噪方面有独特的优势。

关键词: 振动加速度, 信号处理, 小波去噪