基于Morlet小波相干分析的汽车声源识别
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    摘要:

    为适应汽车加速噪声非平稳工作过程声源识别的需要,提出了一种基于连续小波变换的时频相干估计方法。应用该方法从时频空间揭示了汽车加速时,标准测点噪声信号与发动机近场噪声信号的关系。与基于FFT的估计方法对比表明,该方法能够较好地识别局部时间段、低信噪比条件下2个噪声信号的关联程度。

    Abstract:

    Pass-by noise signal is nonstationary and time variant. It is difficult to identify sound sources accurately by the traditional FFT method. A noise sources identification technique was developed by the Morlet wavelet transforms (MWT). Applying the method to view the correlation between the standard measuring point noise and near field noises of the engine compartment, we obtained the cross wavelet transform and wavelet coherence for examining relationships in time frequency space between two time series. The contrast between MWT and FFT methods demonstrates that the MWT method can better identify noise correlation under the condition of low signal-to-noise ratio (SNR) levels and short time spans. 

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贾继德,陈剑,汪时武.基于Morlet小波相干分析的汽车声源识别[J].农业机械学报,2008,39(7):194-196.[J]. Transactions of the Chinese Society for Agricultural Machinery,2008,39(7):194-196.

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