用Radix 25算法处理实值信号的FFT结构综述

Ajinkya A. Naoghare, A. Sakhare
{"title":"用Radix 25算法处理实值信号的FFT结构综述","authors":"Ajinkya A. Naoghare, A. Sakhare","doi":"10.1109/PERVASIVE.2015.7087124","DOIUrl":null,"url":null,"abstract":"A novel approach to develop a Fast Fourier Transform (FFT) for real valued signal using Radix 25 algorithm is proposed in this paper. Methodology is to modify the flow graph of the FFT architecture. Redundant components are replaced by the imaginary computations. Hardware complexity of this RFFT architecture will be low compared to Radix 23 and Radix 24 algorithms in terms of adder, multiplier and delay. This proposed architecture maximizes utilization of hardware with no redundant computation. RFFT is used for real time applications and also in portable devices where low power consumption is the main requirement. So accordingly vedic multiplier and carry save adder has been used in the proposed work.","PeriodicalId":442000,"journal":{"name":"2015 International Conference on Pervasive Computing (ICPC)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Review on FFT architecture for real valued signals using Radix 25 algorithm\",\"authors\":\"Ajinkya A. Naoghare, A. Sakhare\",\"doi\":\"10.1109/PERVASIVE.2015.7087124\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A novel approach to develop a Fast Fourier Transform (FFT) for real valued signal using Radix 25 algorithm is proposed in this paper. Methodology is to modify the flow graph of the FFT architecture. Redundant components are replaced by the imaginary computations. Hardware complexity of this RFFT architecture will be low compared to Radix 23 and Radix 24 algorithms in terms of adder, multiplier and delay. This proposed architecture maximizes utilization of hardware with no redundant computation. RFFT is used for real time applications and also in portable devices where low power consumption is the main requirement. So accordingly vedic multiplier and carry save adder has been used in the proposed work.\",\"PeriodicalId\":442000,\"journal\":{\"name\":\"2015 International Conference on Pervasive Computing (ICPC)\",\"volume\":\"3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-04-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 International Conference on Pervasive Computing (ICPC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PERVASIVE.2015.7087124\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 International Conference on Pervasive Computing (ICPC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PERVASIVE.2015.7087124","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

本文提出了一种利用Radix 25算法对实值信号进行快速傅里叶变换的新方法。方法是修改FFT体系结构的流程图。用虚计算代替冗余分量。在加法器、乘法器和延迟方面,与Radix 23和Radix 24算法相比,这种RFFT架构的硬件复杂性较低。该架构在没有冗余计算的情况下最大限度地利用了硬件。RFFT用于实时应用,也用于主要要求低功耗的便携式设备。因此,本文采用了吠陀乘法器和进位保存加法器。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Review on FFT architecture for real valued signals using Radix 25 algorithm
A novel approach to develop a Fast Fourier Transform (FFT) for real valued signal using Radix 25 algorithm is proposed in this paper. Methodology is to modify the flow graph of the FFT architecture. Redundant components are replaced by the imaginary computations. Hardware complexity of this RFFT architecture will be low compared to Radix 23 and Radix 24 algorithms in terms of adder, multiplier and delay. This proposed architecture maximizes utilization of hardware with no redundant computation. RFFT is used for real time applications and also in portable devices where low power consumption is the main requirement. So accordingly vedic multiplier and carry save adder has been used in the proposed work.
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