Detecting dynamical complexity changes in time series using the base-scale entropy

• 来源期刊: 中国物理(英文版)
• 关键词: dynamical complexity the base-scale entropy the zero-crossing rate Lyapunov exponent
• 年，卷（期）: 2005,（12）
• 页码范围: 2428-2432
• 页数: 5页
• 语种: 英文

摘要

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.