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A New Discrete Analytic Signal for Reducing Aliasing in the Discrete Wigner-Ville Distribution

机译:减少离散Wigner-Ville分布中混叠的新离散分析信号

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摘要

It is not possible to generate an alias-free discrete Wigner--Ville distribution (DWVD) from a discrete analytic signal. This is because the discrete analytic signal must satisfy two mutually exclusive constraints. We present, in this article, a new discrete analytic signal that improves on the commonly used discrete analytic signalu27s approximation of these two constraints. Our analysis shows that---relative to the commonly used signal---the proposed signal reduces aliasing in the DWVD by approximately 50%. Furthermore, the proposed signal has a simple implementation and satisfies two important properties, namely, that its real component is equal to the original real signal and that its real and imaginary components are orthogonal.
机译:无法从离散分析信号生成无混叠离散Wigner-Ville分布(DWVD)。这是因为离散分析信号必须满足两个互斥的约束。我们在本文中介绍了一种新的离散分析信号,该信号在这两个约束的常用离散分析信号近似上得到了改进。我们的分析表明-相对于常用信号-提出的信号将DWVD中的混叠降低了约50%。此外,所提出的信号具有简单的实现并且满足两个重要的特性,即其实分量等于原始实信号并且其实分量与虚分量正交。

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