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Measure for degree of time variance and measure for degree of non-stationarity: application to discrete LPTV systems

机译:测量时间方差程度和非实用程度的度量:应用于离散LPTV系统

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Processing and analysis of time-varying systems and associated non-stationary signals are of great practical importance. The issue of quantifying the amount of time variance and amount of non-stationarity has gained importance recently. This work is also an effort in that direction. In particular, in this paper, we define two measures, one for the degree of time variance (MVTV) in the context of linear periodically time-varying systems (LPTV) and second for the degree of non-stationarity (MDNOST) of cyclostation-ary processes as they naturally arise when a wide-sense stationary (WSS) process passes through an LPTV system. While MDTV is a system property, on the other hand, MDNOST is a signal property. This paper also tries to find a relationship between the amount of time variation of a system with the amount of non-stationarity it generates. In this light, two concepts are analyzed for two different scenarios. First, we consider a system consisting of an upsampler followed by a linear time-invariant (LT1) filter and second a dual rate system (DRS). Both these systems are LPTV. We have shown that the MVTV generated by both LPTV systems is the same as the MDNOST of their output process through simulations and rigorous mathematical proofs.
机译:时变系统的加工和分析和相关的非静止信号具有很大的实际重要性。量化时间差异和非公平性金额最近获得了重要性。这项工作也在努力努力。特别地,在本文中,我们在线性周期性时变量(LPTV)的上下文中,在线性周期性时变量(LPTV)的上下文中,我们定义了两种测量,一个测量值(MVTV),并且是循环的非公平性(MDNost)的第二个当宽视固定式(WSS)过程通过LPTV系统时,ary流程自然出现。另一方面,MDTV是系统属性,而MDNost是一个信号属性。本文还试图在系统产生的非平稳性的量之间找到一个关系之间的关系。在这种光中,分析了两个不同场景的两个概念。首先,我们考虑由upsampler组成的系统,后跟线性时间不变(lt1)滤波器和第二个双速率系统(DRS)。这两个系统都是LPTV。我们已经表明,LPTV系统产生的MVTV通过模拟和严谨的数学证据与其输出过程的MDNOST相同。

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