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首页> 外文期刊>Journal of Sound and Vibration >A synchrosqueezed wavelet transform enhanced by extended analytical mode decomposition method for dynamic signal reconstruction
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A synchrosqueezed wavelet transform enhanced by extended analytical mode decomposition method for dynamic signal reconstruction

机译:扩展解析模式分解方法增强的同步压缩小波变换在动态信号重构中的应用

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摘要

A synchrosqueezed wavelet transform combined by wavelet analysis and time-frequency reallocation method was recently developed to improve the quality of time-frequency representation and construct the components of a signal. However, the quality of this transform highly depends on the parameters of wavelet functions. To overcome the effects of wavelet function parameters on signal decomposition, an analytical mode decomposition method was proposed to reconstruct each component. The analytical mode decomposition selects the bisecting frequency between any two adjacent instantaneous frequencies estimated from a preliminary synchrosqueezed wavelet analysis and analytically extracts the individual components from a signal between any two bisecting frequencies. Two examples including a frequency modulated amplitude decayed signal, and seismic responses of a two-story building are analyzed. It is demonstrated that the analytically derived components are insensitive to the selection parameters of wavelet function and bisecting frequency. The proposed method is superior to the synchrosqueezed wavelet transform method for dynamic signal reconstruction.
机译:最近开发了一种将小波分析和时频重新分配方法相结合的同步小波变换,以提高时频表示的质量并构造信号的成分。但是,此变换的质量高度取决于小波函数的参数。为了克服小波函数参数对信号分解的影响,提出了一种解析模式分解方法来重构每个分量。分析模式分解从初步同步小波分析估计的任何两个相邻瞬时频率之间选择对分频率,并从任意两个对分频率之间的信号中分析性地提取各个分量。分析了两个示例,包括调频幅度衰减信号和两层建筑物的地震响应。结果表明,解析导出的分量对小波函数和二等分频率的选择参数不敏感。所提出的方法优于用于动态信号重构的同步压缩小波变换方法。

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