指出了非线性动态信号参数辨识的重要性；分析了目前采用的方法的不足；对非正交复Morlet小波满足Mercy条件和再生性的命题作了证明；用复Morlet小波构建出一种核函数，与主分量分析方法相结合，对非线性动态信号进行参数辨识和预测；仿真结果验证了该方法的正确性和有效性，表明该方法具有较好的理论价值和实用价值。

-Pointed out the nonlinear dynamic signals the importance of parameter identification　analysis of the current shortcomings of the method used　for non-orthogonal complex Morlet wavelet Mercy meet the conditions and regeneration of the proposition was made to prove　using complex Morlet wavelet to build a nuclear function, with the principal component analysis approach combining nonlinear dynamic parameter identification and signal prediction　simulation results verify the correctness and effectiveness, show that the method has a better theoretical value and practical value.