一种新的RRNS体系结构误差利用方法

Y. Afriyie
{"title":"一种新的RRNS体系结构误差利用方法","authors":"Y. Afriyie","doi":"10.1109/ICMRSISIIT46373.2020.9405850","DOIUrl":null,"url":null,"abstract":"Residue Number System (RNS) is an unweighted number system that symbolizes large integers with smaller numbers. It has the ability to perform operations such as addition and multiplication in parallel. Because of this property, RNS is extensively used in communication, Finite Impulse Response (FIR), cryptography, and signal processing devices. The transfer of data in digital channel is very important for some critical applications where accuracy is very important. This work proposes a novel algorithm that is premised on the Hamming Distance (HD) and one of the reverse conversion methods, which is, the Chinese Remainder Theorem (CRT) and as a joint technique for detecting and correcting multiple bit errors in RNS. The algorithm provides more efficient technique that improves on the hardware size and increases the processing speed with less iterations when compared with other state-of-the-art schemes. An area-delay comparison analysis done and compared with other known schemes in this work revealed the effectiveness of the proposed scheme in terms of area and delay requirements.","PeriodicalId":64877,"journal":{"name":"遥感信息","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2019-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A Novel Exploitation of Errors in RRNS Architecture\",\"authors\":\"Y. Afriyie\",\"doi\":\"10.1109/ICMRSISIIT46373.2020.9405850\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Residue Number System (RNS) is an unweighted number system that symbolizes large integers with smaller numbers. It has the ability to perform operations such as addition and multiplication in parallel. Because of this property, RNS is extensively used in communication, Finite Impulse Response (FIR), cryptography, and signal processing devices. The transfer of data in digital channel is very important for some critical applications where accuracy is very important. This work proposes a novel algorithm that is premised on the Hamming Distance (HD) and one of the reverse conversion methods, which is, the Chinese Remainder Theorem (CRT) and as a joint technique for detecting and correcting multiple bit errors in RNS. The algorithm provides more efficient technique that improves on the hardware size and increases the processing speed with less iterations when compared with other state-of-the-art schemes. An area-delay comparison analysis done and compared with other known schemes in this work revealed the effectiveness of the proposed scheme in terms of area and delay requirements.\",\"PeriodicalId\":64877,\"journal\":{\"name\":\"遥感信息\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-12-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"遥感信息\",\"FirstCategoryId\":\"1087\",\"ListUrlMain\":\"https://doi.org/10.1109/ICMRSISIIT46373.2020.9405850\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"遥感信息","FirstCategoryId":"1087","ListUrlMain":"https://doi.org/10.1109/ICMRSISIIT46373.2020.9405850","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

余数系统(RNS)是一种用小数表示大整数的无加权数系统。它具有并行执行加法和乘法等操作的能力。由于这种特性,RNS被广泛应用于通信、有限脉冲响应(FIR)、密码学和信号处理设备中。数字信道中的数据传输对于一些精度要求很高的关键应用是非常重要的。本文提出了一种以汉明距离(HD)和一种反向转换方法——中国剩余定理(CRT)为前提的新算法,作为RNS中多比特错误检测和纠错的联合技术。与其他最先进的方案相比,该算法提供了更有效的技术,改进了硬件尺寸,并以更少的迭代提高了处理速度。通过与其他已知方案的面积延迟比较分析,揭示了该方案在面积和延迟要求方面的有效性。
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
A Novel Exploitation of Errors in RRNS Architecture
Residue Number System (RNS) is an unweighted number system that symbolizes large integers with smaller numbers. It has the ability to perform operations such as addition and multiplication in parallel. Because of this property, RNS is extensively used in communication, Finite Impulse Response (FIR), cryptography, and signal processing devices. The transfer of data in digital channel is very important for some critical applications where accuracy is very important. This work proposes a novel algorithm that is premised on the Hamming Distance (HD) and one of the reverse conversion methods, which is, the Chinese Remainder Theorem (CRT) and as a joint technique for detecting and correcting multiple bit errors in RNS. The algorithm provides more efficient technique that improves on the hardware size and increases the processing speed with less iterations when compared with other state-of-the-art schemes. An area-delay comparison analysis done and compared with other known schemes in this work revealed the effectiveness of the proposed scheme in terms of area and delay requirements.
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
3984
期刊介绍: Remote Sensing Information is a bimonthly academic journal supervised by the Ministry of Natural Resources of the People's Republic of China and sponsored by China Academy of Surveying and Mapping Science. Since its inception in 1986, it has been one of the authoritative journals in the field of remote sensing in China.In 2014, it was recognised as one of the first batch of national academic journals, and was awarded the honours of Core Journals of China Science Citation Database, Chinese Core Journals, and Core Journals of Science and Technology of China. The journal won the Excellence Award (First Prize) of the National Excellent Surveying, Mapping and Geographic Information Journal Award in 2011 and 2017 respectively. Remote Sensing Information is dedicated to reporting the cutting-edge theoretical and applied results of remote sensing science and technology, promoting academic exchanges at home and abroad, and promoting the application of remote sensing science and technology and industrial development. The journal adheres to the principles of openness, fairness and professionalism, abides by the anonymous review system of peer experts, and has good social credibility. The main columns include Review, Theoretical Research, Innovative Applications, Special Reports, International News, Famous Experts' Forum, Geographic National Condition Monitoring, etc., covering various fields such as surveying and mapping, forestry, agriculture, geology, meteorology, ocean, environment, national defence and so on. Remote Sensing Information aims to provide a high-level academic exchange platform for experts and scholars in the field of remote sensing at home and abroad, to enhance academic influence, and to play a role in promoting and supporting the protection of natural resources, green technology innovation, and the construction of ecological civilisation.
期刊最新文献
[ICMRSISIIT 2019 Front matter] Performance Analysis of SISO and MIMO Communication Systems using Multiple Point Scatter Model Effect of COVID-19 on Education in Ghana: Narratives from Primary, Junior High and Senior High School children Gender-inspired Facial Age Recognition based on Reflexivity, Antisymmetry and Transitivity Nature-inspired search method for IoT-based water leakage location detection system
×
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