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引用次数: 0

摘要

在这份手稿中,我们以一种教育的方式展示了卷积是如何工作的。这是一个重要的主题,因为它具有相关的物理吸引力。首先,我们将讨论采样概念,其中我们将简要地关注通过一个称为脉冲函数的函数对信号进行分解。我们处理脉冲函数,并讨论其在离散域表示的特殊性。然后,我们讨论时间信号移位,并解决一些非常简单的算法,处理纯卷积问题,无噪声和无滤波器,在一个基本的焦点。我们将深入探讨卷积积分的概念,最后讨论离散卷积的关键组成部分Toeplitz矩阵。值得一提的是,这项工作中使用的方法很简单,可以为任何输入提供测试线性物理系统的可能性,这是当前文献中很少涉及的主题。最后,我们总结了一些关于著名运算的注释,该运算长期以来一直用于测试线性和时不变物理系统,因为它在信号,电信和图像处理的实际应用中非常重要。
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Convolução como um apelo da natureza
In this manuscript, we show in an educational way, how the operation known as convolution works. This is an important subject as it has a relevant physical appeal. At first, we will discuss the sampling concept where we will briefly focus on the decomposition of signals through a function known as impulse function. We address the impulse function and talk about the peculiarities of its representation in the discrete domain. We then talk about time signal shifts and address some very simple algorithms that deal with the pure convolution problem, without noise and without filters, in an elementary focus. We will deep-dive into the concept with the convolution integral culminating to the discussion with the Toeplitz matrix which is a key component of discrete convolution. It is worth mentioning that the methodology used in this work is simple and may offer the possibility to test a linear physical system for any input, a subject that is little treated in current literature. Finally, we conclude with some notes on the famous operation which has been used a long time for testing linear and time invariant physical systems, as it is very important in real applications in signals, telecommunication and image processing.
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