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中文摘要：
提出一种基于EEMD的GPS高程时间序列噪声识别与提取方法,将信号通过整体经验模式分解,再结合平均周期与能量密度乘积指标,改进了基于连续均方误差准则的噪声识别方法。通过中国两个CORS基准站高程时间序列信号噪声提取实验,结果表明改进后的方法能避免有物理意义的周期分量被误认为噪声,正确识别了信号与噪声的分界点。
英文摘要：
A new signal de-noising method based on ensemble empirical mode decomposition is presented.Firstly the signal is decomposed by EEMD. The boundary of signal and noise is identified primarily based on consecutive mean squared error criterion. Finally the indexes of mean period and energy density also their product are used for the signal de-noising. The de-noising effect is presented and valid through GPS height time series experience of two national CORS stations.
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