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中文摘要：
许多观测资料中存在着各种各样的趋势,如季节变化引起的周期性趋势、全球变暖所造成的线性趋势、多项式趋势等.鉴于此,本文研究了各种趋势对滑动移除近似熵的影响.数值试验结果表明,周期性趋势、线性趋势及非线性趋势均对滑动移除近似熵的突变检测结果影响较小,论证了滑动移除近似熵方法检测突变的可靠性,为该方法在实际观测资料中的广泛应用提供了实验基础.
英文摘要：
Various trends exist in many observation data,such as periodical trend caused by seasonal variation,linear trend and polynomial trend brought about by global warming.In the present paper,the effects of different trends on moving cut data-approximate entropy are investigated.The numerical tests on model time series indicate that the detection results of moving cut data-approximate entropy are little affected by periodical trend,linear trend and nonlinear trend.The reliability of abrupt change detection of moving cut dataapproximate entropy is demonstrated,which provides an experimental basis for the wide applications of the present method in real observation data.
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Forecast scheme and strategy for extended-range predictable components. Science China Earth Sciences
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