复杂限带周期信号理想D/C和C/D转换的可实现形式

M. Chang, Ren-Shian Chen
{"title":"复杂限带周期信号理想D/C和C/D转换的可实现形式","authors":"M. Chang, Ren-Shian Chen","doi":"10.1109/GLOCOM.2010.5683773","DOIUrl":null,"url":null,"abstract":"For real bandlimited periodic signals, the author of [2] proposed reconstruction formulas such that the ideal discreteto-continuous-time (D/C) conversion can be realized within one period of the signal. However, for general complex bandlimited periodic signals, the results of [2] cannot be directly applied to the real and imaginary parts of the signals. Furthermore, no corresponding ideal continuous-to-discrete-time (C/D) conversion has been proposed. In this paper, we first derive the reconstruction formulas for complex bandlimited periodic signals, and this leads to a realizable form of ideal D/C conversion. For the interpolation pulse of the D/C conversion, we construct its correlation function, based on which we further propose a matched filter that can implement the ideal sampling (C/D conversion) of a complex bandlimited periodic signal. We compare the sampling effect and noise effect of the proposed C/D conversion with other sampling approaches. When there are white noises during the sampling, we also derive the correlation function of the output noise for the proposed ideal C/D conversion.","PeriodicalId":6448,"journal":{"name":"2010 IEEE Global Telecommunications Conference GLOBECOM 2010","volume":"14 1","pages":"1-5"},"PeriodicalIF":0.0000,"publicationDate":"2010-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Realizable Forms of Ideal D/C and C/D Conversions for Complex Bandlimited Periodic Signals\",\"authors\":\"M. Chang, Ren-Shian Chen\",\"doi\":\"10.1109/GLOCOM.2010.5683773\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"For real bandlimited periodic signals, the author of [2] proposed reconstruction formulas such that the ideal discreteto-continuous-time (D/C) conversion can be realized within one period of the signal. However, for general complex bandlimited periodic signals, the results of [2] cannot be directly applied to the real and imaginary parts of the signals. Furthermore, no corresponding ideal continuous-to-discrete-time (C/D) conversion has been proposed. In this paper, we first derive the reconstruction formulas for complex bandlimited periodic signals, and this leads to a realizable form of ideal D/C conversion. For the interpolation pulse of the D/C conversion, we construct its correlation function, based on which we further propose a matched filter that can implement the ideal sampling (C/D conversion) of a complex bandlimited periodic signal. We compare the sampling effect and noise effect of the proposed C/D conversion with other sampling approaches. When there are white noises during the sampling, we also derive the correlation function of the output noise for the proposed ideal C/D conversion.\",\"PeriodicalId\":6448,\"journal\":{\"name\":\"2010 IEEE Global Telecommunications Conference GLOBECOM 2010\",\"volume\":\"14 1\",\"pages\":\"1-5\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 IEEE Global Telecommunications Conference GLOBECOM 2010\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/GLOCOM.2010.5683773\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE Global Telecommunications Conference GLOBECOM 2010","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GLOCOM.2010.5683773","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

对于真实的限带周期信号,作者[2]提出了在信号一个周期内实现理想的离散-连续(D/C)转换的重构公式。然而,对于一般的复限带周期信号,[2]的结果不能直接应用于信号的实部和虚部。此外,也没有相应的理想连续-离散时间(C/D)转换。在本文中,我们首先推导了复杂带限周期信号的重构公式,从而得到了理想数模转换的一种可实现形式。对于数模转换的插补脉冲,构造了其相关函数,并在此基础上提出了一种匹配滤波器,可实现复杂带限周期信号的理想采样(C/D转换)。我们比较了所提出的C/D转换与其他采样方法的采样效果和噪声效应。当采样过程中存在白噪声时,我们还推导出了理想C/D转换输出噪声的相关函数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Realizable Forms of Ideal D/C and C/D Conversions for Complex Bandlimited Periodic Signals
For real bandlimited periodic signals, the author of [2] proposed reconstruction formulas such that the ideal discreteto-continuous-time (D/C) conversion can be realized within one period of the signal. However, for general complex bandlimited periodic signals, the results of [2] cannot be directly applied to the real and imaginary parts of the signals. Furthermore, no corresponding ideal continuous-to-discrete-time (C/D) conversion has been proposed. In this paper, we first derive the reconstruction formulas for complex bandlimited periodic signals, and this leads to a realizable form of ideal D/C conversion. For the interpolation pulse of the D/C conversion, we construct its correlation function, based on which we further propose a matched filter that can implement the ideal sampling (C/D conversion) of a complex bandlimited periodic signal. We compare the sampling effect and noise effect of the proposed C/D conversion with other sampling approaches. When there are white noises during the sampling, we also derive the correlation function of the output noise for the proposed ideal C/D conversion.
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
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信