基于EMD方法的混沌信号中周期分量的提取

基金项目: 国家自然科学基金资助项目(10502032;50335030;10325209;50375094)

Harmonic Component Extraction From a Chaotic Signal Based on EMD Method

State Key Laboratory of Vibration, Shock & Noise, Shanghai Jiaotong University, Shanghai 200030, P. R. China

摘要: 提出一种从Duffing振子产生的混沌信号中提取谐波分量的方法．依据任何信号由不同的固有简单振动模态组成的概念，利用经验模式分解（EMD）方法，将混沌信号分离为不同的内在模态函数(IMF)，并在特定参数下从中分解出单一频率成分的谐波信号，从而成功地将混沌信号和谐波分量分离．仿真实验都表明该方法非常有效．
- 混沌信号 /
- 信号处理 /
- 周期分量 /
- 经验模式分解（EMD） /
- Duffing方程
Abstract: A novel approach of signal extraction of a harmonic component from a chaotic signal gen erated by a Duffing oscillator is proposed. Based on empirical mode decomposition(EMD) and con cept that any signals were composed of a series of the simple intrinsic modes, the harmonic compo nents were extracted from the chaotic signals. Simulation results show the approach is satisfactory.
- chaotic signal /
- signal processing /
- harmonic component /
- empirical mode decomposition(EMD) /
- Duffing function

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