Signal Change Estimation of One Important Class in the Filtering Process

Volodymir Kireyenko, Yurii Kolomiiets, Andriy Makarchuk, Alla Hutnik, T. Fedchuk, Yuriy Shcheblanin
{"title":"Signal Change Estimation of One Important Class in the Filtering Process","authors":"Volodymir Kireyenko, Yurii Kolomiiets, Andriy Makarchuk, Alla Hutnik, T. Fedchuk, Yuriy Shcheblanin","doi":"10.1109/HORA58378.2023.10156764","DOIUrl":null,"url":null,"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.","PeriodicalId":247679,"journal":{"name":"2023 5th International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 5th International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HORA58378.2023.10156764","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

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.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
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。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Classification of Urban Sounds with PSO and WO Based Feature Selection Methods Modeling a system determining the fastest way to get from one point to another by public transport NNA and Activation Equation-Based Prediction of New COVID-19 Infections Plaka tanıma sistemleri ve hibrit bir sistem önerisi Color Image Encryption Using a Sine Variation of the Logistic Map for S-Box and Key Generation
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1