基于经验模态分解(EMD)的小波阈值除噪方法

    A Study of Wavelet Threshold Denoising Based on Empirical Mode Decomposition(EMD)

    • 摘要: 针对低信噪比信号的去噪问题,提出了一种基于经验模态分解的小波阈值去噪方法,并与小波变换去噪法的效果相比较.试验结果证明,当信号的信噪比较小时,基于经验模态分解的小波阈值去噪效果是相当有效和稳定的,为研究环境脉动下结构的输出信号去噪处理提供了新的手段.

       

      Abstract: Based on empirical mode decomposition,a wavelet threshold denoising method is presented to solve the signal denoising problem of low signal-to-noise ratio.By contrast with wavelet threshold denoising,the experimental results proved that this method is very efficient and stable in denoising when the signal to noise ratio is rather low.Furthermore,a new way of studying the dynamical signal from structure under environmental pulsating loads is proposed.

       

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