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AKindofNon-orthogonalComplexWaveletKernelFunction

于 2008-05-18 发布 文件大小:263KB
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  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.)

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一种非正交复小波核函数及其非线性参数辨识应用.pdf

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