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Empirical mode decomposition method can effectively extract nonlinear unstable signal feature of instantaneous. This paper based on the EMD method and wavelet threshold value decomposition methods for noise signal de-noising, and through comparison and analysis, the experimental results proved the advantages and disadvantages of each. EMD method of threshold of high frequency part of signal effect is good, can be very good to retain the high frequency part of signal. Reflect EMD threshold denoising method.

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EMD method can extract the instantaneous non-linear non-stable signal characteristics. This threshold is based on EMD method and wavelet denoising the signal to noise, and comparative analysis of the experiment to verify their advantages and disadvantages. EMD threshold method of high-frequency signal is better, you can very well keep the high frequency part. EMD threshold method reflects the advantage of denoising

试着翻译了下, 看看行不行
The empirical mode decomposition method can extract transient features of the non-linear and non-steady signal effectively. This article mainly presents de noise noise signal which based on EMD threshold method and the wavelet transform method, and verifies their respective merits and faults by means of the contrast and analysis of the experimental result. EMD threshold method has an obvious effect of the high-frequency part of the signal, holds the high-frequency part of the signal perfectly which presenting the advantage of EMD threshold method de noise.
兄弟,我可是自己翻译的啊, 不行你就不用采纳了