摘要
以Duffing方程系统为例阐述了混沌运动的特征,比较了正交多分辨分析和正交小波包分析的频带分割能力和频率分辨率,提出了一种基于正交小波包分析的混沌识别方法。利用各子带功率在信号总功率中的分布状况,有效地识别出周期运动、混沌运动与随机运动,提取了混沌运动的特征频率。
The chaotic motion characteristics are expounded by taking the Duffing equation system as an example. The frequency band segmentation ability and the frequency resolution of the orthogonal multi-resolution analysis and the orthogonal wavelet packet analysis are compared. A new orthogonal wavelet packet analysis-based chaotic recognition method is put forward. The chaotic motion, the random motion and the periodic motion can be identified effectively by use of the sub-frequency band power distribution in the signal total power. The characteristic frequency of chaotic motion is extracted.
出处
《燕山大学学报》
CAS
2004年第1期7-13,共7页
Journal of Yanshan University
基金
霍英东教育基金会第七届青年教师基金资助项目(71061)