低通滤波与计算成本

Chandan Banerjee, Gaurav Pandey, Hemant Kr. Namdeo
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引用次数: 0

摘要

在本文中,我们处理的是线性扫频余弦信号,即所谓的“啁啾”函数。我们正在生成所需频率(频率f = 1…)的相同函数的图像行。大约256像素/周期,振幅= 1)。之后,我们堆叠20行以生成条带图像,然后我们应用不同的低通滤波器并计算衰减,即逐像素衰减。与此同时,我们正在计算所有过程中的计算工作量并比较所有结果。我们还可以分析迭代卷积滤波器,它比传统的二项滤波器更有用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Low Pass Filtering and Computing Cost
In this paper we are dealing with a linearly swept-frequency cosine signal so called “chirp” function. We are generating an image row of the same function of required frequency (frequency f = 1 ... around 256 pixel/period, amplitude = 1). After that we are stacking 20 rows to generate a strip image and then we are applying different low pass filters and calculating the attenuation i.e., damping pixel by pixel. On the same time we are calculating computing effort throughout the all processes and comparing all results. We can also analyze iterative convoluted filters, which is more useful than conventional binomial filters.
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