Signal Change Estimation of One Important Class in the Filtering Process

Volodymir Kireyenko, Yurii Kolomiiets, Andriy Makarchuk, Alla Hutnik, T. Fedchuk, Yuriy Shcheblanin
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Abstract

This paper considers the problem of the measure of the signal change from the Weyl-Nagy class of differentiable functions when the signal is filtered by means of weight functions. Asymptotic estimates characterizing the measure of the signal change of the specified class of Weyl-Nagy differentiable functions have been established. The difference in signal filtering described by both differentiable and non-differentiable functions has been shown. The established signal change estimates have been demonstrated by applying a specific low-pass filter to the given signal. This example illustrates the difference between differentiable and non-differentiable signal filtering. The behavior of the measure of signal change depending on the filter parameters and the maximum order of the derivative function characterizing the signal has been also shown.
滤波过程中一类重要的信号变化估计
本文研究了用权函数滤波信号时,从Weyl-Nagy类可微函数测度信号变化的问题。本文建立了表征某一类Weyl-Nagy可微函数信号变化测度的渐近估计。给出了可微函数和不可微函数在信号滤波中的区别。通过对给定信号应用特定的低通滤波器,证明了所建立的信号变化估计。这个例子说明了可微和不可微信号滤波之间的区别。还显示了信号测量的变化行为取决于滤波器参数和表征信号的导数函数的最大阶数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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