中文摘要：

该文结合非平稳性度量，研究利用经验模态分解算法进行趋势噪声分解，提出基于非平稳性度量的准则来判定舍弃的本性模态函数的数目．通过数值模拟证明了该准则克服了连续均方误差准则的缺陷，在不同噪声强度和复杂趋势下，都能够达到很好的去噪效果．

英文摘要：

In this paper, we study the decomposition of trend and noise based on empirical mode decomposition algorithm and non-stationarity measure, and propose a criterion to choose intrinsic mode function for trend. Numerical simulation results show that the proposed criterion can overcome drawback of continuous mean square error criterion, achieve a good effect in different noise intensity and complex trend.