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利用三级小波包分解,获取信号能量分布的特征向量,根据信号能量分布的特征向量相关系数,确定两种信号相关程度,给出了识别不同信号的识别方法。试验表明,该方法用于车辆噪声、振动源识别比传统的分析方法更为简单、有效。
The three-level wavelet packet decomposition is used to obtain the eigenvectors of the energy distribution of the signal. According to the correlation coefficients of the eigenvectors of the energy distribution of the signal, the correlation between the two signals is determined and the identification method for identifying different signals is given. Experiments show that this method is more simple and effective than the traditional methods for vehicle noise and vibration source identification.