基于EMD及非平稳性度量的趋势噪声分解方法
Acta Mathematica Scientia（2016）
Abstract
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.
MoreKey words
Decomposition of noise and trend,Empirical mode decomposition,Non-stationarity measure
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