%0 Journal Article
%T A technique for distinguishing dynamical species in the temperature time series of Yangtze River delta<br>基于条件熵长江三角洲温度的非线性动力学特征分析
%A Feng Guo-Lin
%A Hou Wei
%A Dong Wen-Jie
%A <br>封国林
%A 侯威
%A 董文杰
%J 物理学报
%D 2006
%I 
%X The conditional entropy of two symbolic sequences which are encoded faithfully from two different time series is minimized at the zero relative shift of the two time series if the two time series have their origins in the same underlying dynamics. This technique is also useful in studying the delayed coupling between different time series. Applications are made to the temperature data derived from five meteorological stations in China, namely Shanghai, Nantong, Changzhou, Nanjing and Hangzhou in order to test the commonality of their underlying dynamics, obtain the relative strength of the dynamics coupling between different variables, and extract the implicit delayed information in the dynamics.
%K coarse-graining
%K conditional entropy
%K dynamical coupling
%K time-delays<br>粗粒化
%K 条件熵
%K 动力学耦合
%K 滞后时间
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=6E709DC38FA1D09A4B578DD0906875B5B44D4D294832BB8E&cid=47EA7CFDDEBB28E0&jid=29DF2CB55EF687E7EFA80DFD4B978260&aid=A05D3397A661F066&yid=37904DC365DD7266&vid=E514EE58E0E50ECF&iid=0B39A22176CE99FB&sid=CFC2B32D03D9F610&eid=20154CF366EC08B1&journal_id=1000-3290&journal_name=物理学报&referenced_num=0&reference_num=17