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Nonlinear Chirp Mode Decomposition: A Variational Method

机译:非线性线性调频模式分解:一种变分方法

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Variational mode decomposition (VMD), a recently introduced method for adaptive data analysis, has aroused much attention in various fields. However, the VMD is formulated based on the assumption of narrow-band property of the signal model. To analyze wide-band nonlinear chirp signals (NCSs), we present an alternative method called variational nonlinear chirp mode decomposition (VNCMD). The VNCMD is developed from the fact that a wideband NCS can be transformed to a narrow-band signal by using demodulation techniques. Our decomposition problem is, thus, formulated as an optimal demodulation problem, which is efficiently solved by the alternating direction method of multipliers. Our method can be viewed as a time-frequency filter bank, which concurrently extracts all the signal modes. Some simulated and real data examples are provided showing the effectiveness of the VNCMD in analyzing NCSs containing close or even crossed modes.
机译:变分模式分解(VMD)是最近引入的一种自适应数据分析方法,在各个领域引起了广泛关注。但是,VMD是基于信号模型的窄带特性的假设而制定的。为了分析宽带非线性线性调频信号(NCSs),我们提出了另一种方法,称为变非线性线性调频模式分解(VNCMD)。 VNCMD的开发基于这样一个事实,即可以通过使用解调技术将宽带NCS转换为窄带信号。因此,我们的分解问题被公式化为最佳解调问题,可以通过乘数的交替方向方法有效地解决该问题。我们的方法可以看作是时频滤波器组,可以同时提取所有信号模式。提供了一些模拟和真实的数据示例,显示了VNCMD在分析包含接近或什至交叉模式的NCS方面的有效性。

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