This paper describes an Inverse Wavelet Transformation (IWT) approach to simulate target wind series with intermittency for given spectral functions as the input of structural wind responses analysis.

研究生成既满足给定的工程谱特性，又具有间歇性结构的风速序列作为结构气动计算的输入。

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The system includes the following nine modules: pretreatment, wavelet analysis, spectral analysis, forward modeling, inversion, input, output, graph display and help.

系统包括预处理、小波分析、频谱分析、正演、反演、输入、输出、图形显示、帮助等九个模块。

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The results show that this algorithm can model input and output learning kernel of dynamic nonlinear system quickly, which is superior to other learning methods of wavelet network.

结果表明该算法能够对动态非线性系统的输入输出快速学习和建模，优于其它小波网络的学习算法。

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