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Exponentials and Laplace transforms on nonuniform time scales

机译:非均匀时间尺度上的指数和拉普拉斯变换

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We formulate a coherent approach to signals and systems theory on time scales. The two derivatives from the time-scale calculus are used, i.e., nabla (forward) and delta (backward), and the corresponding eigenfunctions, the so-called nabla and delta exponentials, computed. With these exponentials, two generalised discrete-time Laplace transforms are deduced and their properties studied. These transforms are compatible with the standard Laplace and Z transforms. They are used to study discrete-time linear systems defined by difference equations. These equations mimic the usual continuous-time equations that are uniformly approximated when the sampling interval becomes small. Impulse response and transfer function notions are introduced. This implies a unified mathematical framework that allows us to approximate the classic continuous-time case when the sampling rate is high or to obtain the standard discrete-time case, based on difference equations, when the time grid becomes uniform. (C) 2016 Elsevier B.V. All rights reserved.
机译:我们在时间尺度上为信号和系统理论制定了一种连贯的方法。使用来自时间尺度微积分的两个导数,即nabla(正向)和delta(向后),并计算相应的本征函数,即所谓的nabla和delta指数。利用这些指数,推导了两个广义离散时间拉普拉斯变换,并研究了它们的性质。这些变换与标准的Laplace和Z变换兼容。它们用于研究由差分方程定义的离散线性系统。这些方程式模仿了通常的连续时间方程式,当采样间隔变小时,这些均匀统一地近似。介绍了脉冲响应和传递函数的概念。这意味着一个统一的数学框架,该框架允许我们在采样率较高时近似经典连续时间情况,或者在时间网格变得均匀时根据差分方程式获得标准离散时间情况。 (C)2016 Elsevier B.V.保留所有权利。

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