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论述了对混沌信号不可预测程度进行检测的基本原理,在此基础上提出了一种对混沌信号不可预测性强弱进行检测的方法.分别对硬件电路和数值仿真产生的混沌时间序列的周期轨道进行了统计分析,寻找热鞍周期轨道(SPO)并对其回归谱和回归频度等特性进行了研究.实验结果表明了该方法用于检测混沌信号不可预测性强弱的有效性.
The basic principle of detecting the unpredictability of chaotic signals is discussed, and a method of detecting the unpredictability of chaotic signals is proposed.Accordingly, the periodic orbits of chaotic time series generated by hardware circuits and numerical simulations The statistical analysis is carried out to find the hot saddle periodic orbit (SPO) and its characteristics such as regression spectrum and regression frequency are studied.The experimental results show that this method is effective in detecting the unpredictability of chaotic signals.