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强噪声上升流弱信号的识别问题的研究
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Research to Identify Problems on Upwelling Weak Signal of Strong Noise
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    摘要:

    希尔伯特—黄变换展示了在处理非稳态信号方面的优越性,但对于深海环境强噪声背景下的上升流弱信号,直接进行EMD提取主要成分时将会出现分解效率低和严重的模态混淆。为了消除噪声对EMD分解质量的影响,提出了先对含噪声弱信号进行小波去噪,然后再进行EMD分解。通过理论分析及计算机仿真,证实了该法克服了噪声对直接运用EMD的干扰,提高了含噪信号EMD分解的效率和准确性。

    Abstract:

    HilbertHuang transform decomposition demonstrates superiority in dealing with nonstationary signals, but for the upwelling weak signal under the background of strong noise in deepsea environment, there will be serious modal confusion when directly extracting the main component of EMD. In order to decrease the noise influence upon the EMD, first wavelet denoising on noisy signal is presented. Then the EMD is decomposed. Through theoretical analysis and computer simulation, it was proved that the method to 〖JP2〗overcome the noisy interference of using EMD directly. The efficiency and accuracy to noisy signal with EMD decomposition are improved.〖JP〗

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金刘,王勇.强噪声上升流弱信号的识别问题的研究[J].机床与液压,2015,43(15):194-196.
. Research to Identify Problems on Upwelling Weak Signal of Strong Noise[J]. Machine Tool & Hydraulics,2015,43(15):194-196

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  • 在线发布日期: 2015-11-24
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