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Problem of insufficient sampling rate in EMD

机译:EMD中采样率不足的问题

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The objective of this paper is to investigate the empirical mode decomposition (EMD) error caused by insufficient sampling rate (Signal sampling obeys the law of Nyquist sampling, but the sampling rate is not high enough) and indicate a noise assisted data to cancel the EMD error. When the intrinsic mode functions are extracted from a signal mixed noise at a certain level on the sifting algorithm, an extraordinary phenomenon, where noise submerges the EMD error, is discovered. Thus, noise assisted data is proposed to disturb the EMD error in the sifting process. In order to realize the purpose, the ensemble EMD is employed to signal processing. As a result, the intrinsic mode functions have no error caused by insufficient sampling rate. An EMD example of ball bearing vibration is presented to illustrate the validity of the approach. The investigation will be significance in the EMD decomposition on the vibration and acoustic signals with broad band.
机译:本文的目的是研究由采样率不足引起的经验模式分解(EMD)误差(信号采样遵循奈奎斯特采样定律,但采样率不够高),并指出了一种噪声辅助数据来消除EMD错误。当在筛选算法中从某种程度的信号混合噪声中提取本征模式函数时,会发现一种特殊现象,即噪声淹没了EMD误差。因此,提出了噪声辅助数据来干扰筛选过程中的EMD错误。为了实现该目的,采用集成EMD进行信号处理。结果,本征模式函数没有由不足的采样率引起的误差。给出了一个EMD球轴承振动的例子,以说明该方法的有效性。该研究对于EMD分解宽带振动和声信号具有重要意义。

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