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对于智能交通系统 (ITS)的数据集成 ,数字信号处理技术中的小波变换方法能够克服传统的基于数理统计方法的集成技术的种种缺陷 ,并提供最佳集成度。该文基于小波分解的方法 ,通过对 ITS数据进行分层、相似性分析得出了数据的最佳集成度 ,完成了对数据的集成。通过该方法集成后的数据不仅包含足够的有用信息 ,而且能够消除无用成份和噪音
For ITS data integration, the wavelet transform method in digital signal processing technology can overcome the shortcomings of the traditional integrated technology based on mathematical statistics and provide the best integration. Based on the method of wavelet decomposition, the paper divides the ITS data and obtains the best data integration degree by the similarity analysis and completes the data integration. The data integrated by this method not only contains enough useful information, but also eliminates unnecessary components and noise