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中文摘要：
针对实际采样环境中存在的各种干扰,以及交通数据的非平稳特性,在交通数据小波变换特性分析的基础上,提出基于小波分析的交通数据自适应消噪算法：对交通数据进行小波分解,然后对高频系数的自相关函数进行白噪声检验,从而确定小波分解的层数和阈值。采用实际检测交通流数据,对算法的有效性进行了验证分析。
英文摘要：
In view of the various disturbances in practical sampling environment and the non-stationary property of traffic data,and according to the characteristic analysis on wavelet transformation of traffic data,this paper presents an adaptive denoising algorithm of traffic data based on wavelet analysis.Firstly,the traffic data is decomposed by the wavelet,and then the white noise verification of the autocorrelation function of the high frequency wavelet coefficients is carried out,thus the level and threshold of wavelet transformation are determined.Finally,the practical detection on traffic flow data is used to testify and analyse the feasibility of the proposed algorithm.
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