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基于Morlet小波相干分析的汽車聲源識別
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    摘要:

    為適應汽車加速噪聲非平穩(wěn)工作過程聲源識別的需要,提出了一種基于連續(xù)小波變換的時頻相干估計方法,。應用該方法從時頻空間揭示了汽車加速時,,標準測點噪聲信號與發(fā)動機近場噪聲信號的關系,。與基于FFT的估計方法對比表明,,該方法能夠較好地識別局部時間段,、低信噪比條件下2個噪聲信號的關聯(lián)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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賈繼德,陳劍,汪時武.基于Morlet小波相干分析的汽車聲源識別[J].農(nóng)業(yè)機械學報,2008,39(7):194-196.[J]. Transactions of the Chinese Society for Agricultural Machinery,2008,39(7):194-196.

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