摘要
本文利用相位随机化的替代数据方法，给出了一个对动力系统实测时间序列数据的特性进行判定的方法·计算结果表明：相位的充分随机化可提高判别的准确程度·把此判据用于随机时序与非线性混沌时序所得的判据值有明显的差异·
n this paper surrogate data method of phase_randomized is proposed to identify the random or chaotic nature of the date obtained in dynamic analysis. The calculating results validate the phase_randomized method to be useful as it can increase the extent of accuracy of the results. And the calculating results show that threshold values of the random timeseries and nonlinear chaotic timeseries have marked difference.
出处
《应用数学和力学》
CSCD
北大核心
1998年第6期481-488,共8页
Applied Mathematics and Mechanics
基金
国家自然科学基金
关键词
非线性混沌时序
随机时序
动力系统
观测时序
chaotic timeseries, surrogate_data, threshold value, random timeseries
