%0 Journal Article
%T Effects of different trends on moving cut data-approximate entropy<br>不同趋势对滑动移除近似熵的影响
%A Jin Hong-Mei
%A He Wen-Ping
%A Hou Wei
%A Zhang Da-Quan
%A <br>金红梅
%A 何文平
%A 侯威
%A 章大全
%J 物理学报
%D 2012
%I 
%X 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 data-approximate entropy is demonstrated, which provides an experimental basis for the wide applications of the present method in real observation data.
%K moving cut data-approximate entropy
%K trends
%K abrupt change detection<br>滑动移除近似熵
%K 趋势
%K 突变检测
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=6E709DC38FA1D09A4B578DD0906875B5B44D4D294832BB8E&cid=47EA7CFDDEBB28E0&jid=29DF2CB55EF687E7EFA80DFD4B978260&aid=790A9358A1C1D65504A438F1BCFEC70C&yid=99E9153A83D4CB11&vid=1D0FA33DA02ABACD&iid=B31275AF3241DB2D&sid=26FE5F04BC5B6ABD&eid=26FE5F04BC5B6ABD&journal_id=1000-3290&journal_name=物理学报&referenced_num=0&reference_num=40