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首页> 外文期刊>Journal of vibration and control: JVC >Laplace wavelet transform theory and applications
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Laplace wavelet transform theory and applications

机译:拉普拉斯小波变换理论和应用

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This study introduces the theory of the Laplace wavelet transform (LWT). The Laplace wavelets are a generalization of the second-order under damped linear time-invariant (SOULTI) wavelets to the complex domain. This generalization produces the mother wavelet function that has been used as the Laplace pseudo wavelet or the Laplace wavelet dictionary. The study shows that the Laplace wavelet can be used to transform signals to the time-scale or time-frequency domain and can be retrieved back. The properties of the new generalization are outlined, and the characteristics of the companion wavelet transform are defined. Moreover, some similarities between the Laplace wavelet transform and the Laplace transform arise, where a relation between the Laplace wavelet transform and the Laplace transform is derived. This relation can be beneficial in evaluating the wavelet transform. The new wavelet transform has phase and magnitude, and can also be evaluated for most elementary signals. The Laplace wavelets inherit many properties from the SOULTI wavelets, and the Laplace wavelet transform inherits many properties from both the SOULTI wavelet transform and the Laplace transform. In addition, the investigation shows that both the LWT and the SOULTI wavelet transform give the particular solutions of specific related differential equations, and the particular solution of these linear time-invariant differential equations can in general be written in terms of a wavelet transform. Finally, the properties of the Laplace wavelet are verified by applications to frequency varying signals and to vibrations of mechanical systems for modes decoupling, and the results are compared with the generalized Morse and Morlet wavelets in addition to the short time Fourier transform's results.
机译:本研究介绍了拉普拉斯小波变换(LWT)的理论。拉普拉斯小波是对复杂域的阻尼线性时间不变(Soulti)小波下的二阶的概括。该概率产生已用作LAPLACE伪小波或拉普拉斯语法的母小波函数。该研究表明,拉普拉斯小波可用于将信号转换为时间尺度或时频域,并且可以重回。概述了新的泛化的属性,并且定义了伴随小波变换的特性。此外,出现了拉普拉特变换和拉普拉斯变换之间的一些相似性,其中推导了拉普拉特变换与拉普拉斯变换之间的关系。这种关系对于评估小波变换可能是有益的。新小波变换具有相位和幅度,也可以评估大多数基本信号。拉普拉斯小波继承了来自Soulti小波的许多属性,LaPlace小波变换继承了Soulti小波变换和拉普拉斯变换的许多属性。此外,调查表明,LWT和SoulTi小波变换都提供特定相关微分方程的特定解,并且这些线性时间不变微分方程的特定解决方案通常可以根据小波变换写入。最后,通过应用于频率变化信号和用于模式去耦的机械系统的振动来验证拉普拉特的特性,除了短时间傅里叶变换的结果之外,还将结果与广义莫斯克和Morlet小波进行比较。

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