%0 Journal Article
%T Detecting dynamical complexity changes in time series using the base-scale entropy
%A Li Jin
%A Ning Xin-Bao
%A Wu Wei
%A Ma Xiao-Fei
%A <br>李锦
%A 宁新宝
%A 吴巍
%A 马小飞
%J 中国物理 B
%D 2005
%I 
%X Timely detection of dynamical complexity changes in natural and man-made systems has deep scientific and practical meanings. We introduce a complexity measure for time series: the base-scale entropy. The definition directly applies to arbitrary real-word data. We illustrate our method on a practical speech signal and in a theoretical chaotic system. The results show that the simple and easily calculated measure of base-scale entropy can be effectively used to detect qualitative and quantitative dynamical changes.
%K dynamical complexity
%K the base-scale entropy
%K the zero-crossing rate
%K Lyapunov exponent<br>动力复杂性
%K 基本度量熵
%K 零相交率
%K Lyapunov指数
%K 热力学
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=6E709DC38FA1D09A4B578DD0906875B5B44D4D294832BB8E&cid=47EA7CFDDEBB28E0&jid=CD8D6A6897B9334F09D8D1648C376FB4&aid=43654B1F707C34969623F7ECFAD44EC2&yid=2DD7160C83D0ACED&vid=F3583C8E78166B9E&iid=59906B3B2830C2C5&sid=72D6EEA314C942FA&eid=3C934644D84F2E3C&journal_id=1009-1963&journal_name=中国物理&referenced_num=2&reference_num=17