中文摘要：

基于常用的高铁轨道静态检测方法，提出利用小波分析理论选择适合的小波基对静态检测数据进行滤波去噪处理，达到去除原始轨道静态检测数据中粗差的目的。对贵广高铁轨道静态检测数据进行实际验证表明，本文提出的方法可以有效地去除粗差，并且得到很好的检测效果。

英文摘要：

There is a large amount of raw data for high-speed railway ballastless track static detection, and gross errors appeared in them. Based on research into common detection methods, a new method is proposed. This method uses wavelet analysis theory to select the appropriate wavelet basis, and then static test data is filtered to remove the gross errors in raw data of track static detection. Finally, the static detection of Guiyang-Guangzhou high-speed railway is carried out. The results show that the proposed method can effectively remove gross errors, and obtains a good detection effect.