用非稳定周期轨道方法检出混沌信号的DSP软件实现

Implementationof DSP's software for detecting chaotic signals by UPOs method

脑电、心电等生理信号具有确定性混沌特征,而UPOs的分析方法在混沌判别中有较高可靠性,因此用DSP实现非稳定周期轨道的快速实时检出对生物信号的研究有重要的意义。本文阐述了用非稳定周期轨道方法提取混沌信号的算法,其MATLAB仿真以及DSP上软件开发的过程。

The physiological signals,such as EEG and ECG,have chaotic characteristics.Therefore,the method of UPOs (Unstable periodic orbits),with higher reliability than other methods,can be used in the implementation of DSP's(Digital Signal Processor)software for detecting chaotic characteristics from physiological signals.This paper introduces the algorithm of detecting chaotic signals by USOs method,the MATLAB simulation and the development process of DSP software.