周期性非均匀采样信号的分析

V. Lesnikov, T. Naumovich, A. Chastikov
{"title":"周期性非均匀采样信号的分析","authors":"V. Lesnikov, T. Naumovich, A. Chastikov","doi":"10.1109/dspa53304.2022.9790779","DOIUrl":null,"url":null,"abstract":"Modern methods of digital signal processing are based not only on equidistant discretization. The methods of non-uniform discretization, including periodically non-uniform discretization, are widely used. This paper describes the possibility of representing the results of periodically nonuniform sampling of a complex harmonic signal by the results of uniform sampling of a specially formed signal, which is the sum of complex harmonic signals, the number of which, amplitudes, frequencies and phases are determined both by the parameters of the original signal and by the parameters of the sampling scheme.","PeriodicalId":428492,"journal":{"name":"2022 24th International Conference on Digital Signal Processing and its Applications (DSPA)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Analysis of Periodically Non-Uniform Sampled Signals\",\"authors\":\"V. Lesnikov, T. Naumovich, A. Chastikov\",\"doi\":\"10.1109/dspa53304.2022.9790779\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Modern methods of digital signal processing are based not only on equidistant discretization. The methods of non-uniform discretization, including periodically non-uniform discretization, are widely used. This paper describes the possibility of representing the results of periodically nonuniform sampling of a complex harmonic signal by the results of uniform sampling of a specially formed signal, which is the sum of complex harmonic signals, the number of which, amplitudes, frequencies and phases are determined both by the parameters of the original signal and by the parameters of the sampling scheme.\",\"PeriodicalId\":428492,\"journal\":{\"name\":\"2022 24th International Conference on Digital Signal Processing and its Applications (DSPA)\",\"volume\":\"25 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-03-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 24th International Conference on Digital Signal Processing and its Applications (DSPA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/dspa53304.2022.9790779\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 24th International Conference on Digital Signal Processing and its Applications (DSPA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/dspa53304.2022.9790779","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

现代数字信号处理方法不仅建立在等距离散的基础上。非均匀离散化方法,包括周期性非均匀离散化方法,被广泛应用。本文描述了用一个特殊形式的复谐波信号的均匀采样结果来表示复谐波信号周期性非均匀采样结果的可能性,该信号是复谐波信号的和,复谐波信号的个数、幅值、频率和相位由原始信号的参数和采样方案的参数决定。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Analysis of Periodically Non-Uniform Sampled Signals
Modern methods of digital signal processing are based not only on equidistant discretization. The methods of non-uniform discretization, including periodically non-uniform discretization, are widely used. This paper describes the possibility of representing the results of periodically nonuniform sampling of a complex harmonic signal by the results of uniform sampling of a specially formed signal, which is the sum of complex harmonic signals, the number of which, amplitudes, frequencies and phases are determined both by the parameters of the original signal and by the parameters of the sampling scheme.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Iterative Adaptive Digital Processing of Semiconductor Barrier Structures Capacitance Transient Signals The Mathematical Models of Transformation non-Gaussian Random Processes in the non-Linear non-Inertial Elements Multipath Fading Impact on the Quantizer Output Signal Energy Suppression Digital Transformation is a Way to Increase the Effectiveness of Personal Telemedicine Design of Codebooks for Space-Time Block Code with Noncoherent GLRT-Based Reception
×
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