Several principles and the advantages and faults of the traditional wavelet de-noising are both described,then a de-noise method base on energy-member and Neyman-Pearson Criteria is proposed and used for de-noising in the road roughness data. Numerical simulations show that the algorithm can not only maximize the retention of road roughness trends ,but also is effective and excellent in de-noising.%阐述了几种传统小波去噪原理及其优缺点,在此基础上提出了一种基于能量元和Neyman-Pearson准则的小波阈值去噪算法,并将其用于路面不平度数据的降噪分析.仿真结果表明,该算法不仅能最大限度地保留路面不平度信号的趋势部分,而且能有效降噪.
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