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Extracting periodic driving signal from chaotic noise

机译:从混沌噪声中提取周期性驱动信号

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After periodic signals pass through some nonlinear systems, they are usually transformed into noise-like and wide-band chaotic signals. The discrete spectrums of the original periodic signals are often covered by the chaotic spectrums. Recovering the periodic driving signals from the chaotic signals is important not only in theory but also in practical applications. Based on the modeling theory of nonlinear dynamic system, a " polynomial-simple harmonic drive" non-autonomous equation (P-S equation) to approximate the original system is proposed and the approximation error between P-S equation and the original system is obtained. By changing the drive frequency, we obtain the curve of the approximation error vs. drive frequency. Based on the relation between this curve and the spectrums of the original periodic signals, the spectrum of the original driving signal is extracted and the original signal is recovered.
机译:周期性信号通过某些非线性系统后,通常会转换为类似噪声的宽带混沌信号。原始周期信号的离散频谱通常被混沌频谱所覆盖。从混沌信号中恢复周期性驱动信号不仅在理论上而且在实际应用中都很重要。基于非线性动力学系统的建模理论,提出了近似原系统的“多项式-简谐驱动”非自治方程(P-S方程),得到了P-S方程与原始系统之间的近似误差。通过改变驱动频率,我们获得了近似误差与驱动频率的关系曲线。基于该曲线与原始周期信号的频谱之间的关系,提取原始驱动信号的频谱并恢复原始信号。

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