An area efficient high speed optimized FFT algorithm

B. Manuel, E. Konguvel, M. Kannan
{"title":"An area efficient high speed optimized FFT algorithm","authors":"B. Manuel, E. Konguvel, M. Kannan","doi":"10.1109/ICSCN.2017.8085739","DOIUrl":null,"url":null,"abstract":"In recent years the Fast Fourier Transform is widely used in a number of applications as it is considered to be an efficient algorithm to compute the Discrete Fourier Transform. The process of computing the FFT for large sequence real time data becomes complex and tedious. Hence it is necessary to design a system that can perform the FFT computation of large sequence data with reduced power consumption. This paper presents the design of low power Radix-8 DIT FFT. The proposed design aims at reducing the number of multipliers that are used to compute the FFT. This is achieved by swapping the input terms and reordering them. This leads to a reduction in the number of multipliers used to perform the computation and thereby causing a reduction in the power consumption. This method is highly advantageous when the input signals are lengthy since the number of multipliers used is large in number consuming very high power. In order to optimize the FFT architecture the number of multipliers is reduced thereby causing a significant reduction in power. The prototype for Radix-2 (8 point) and Radix-4 (16 point) optimized FFT is designed, implemented and simulated using Altera ModelSim DE2 EP2C35F672C6 FPGA device. The proposed Radix-2 (8 point) and Radix-4 (16 point) optimized FFT operates at a speed of 10.41 Gbps and 21.23 Gbps respectively.","PeriodicalId":383458,"journal":{"name":"2017 Fourth International Conference on Signal Processing, Communication and Networking (ICSCN)","volume":"173 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 Fourth International Conference on Signal Processing, Communication and Networking (ICSCN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSCN.2017.8085739","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 12

Abstract

In recent years the Fast Fourier Transform is widely used in a number of applications as it is considered to be an efficient algorithm to compute the Discrete Fourier Transform. The process of computing the FFT for large sequence real time data becomes complex and tedious. Hence it is necessary to design a system that can perform the FFT computation of large sequence data with reduced power consumption. This paper presents the design of low power Radix-8 DIT FFT. The proposed design aims at reducing the number of multipliers that are used to compute the FFT. This is achieved by swapping the input terms and reordering them. This leads to a reduction in the number of multipliers used to perform the computation and thereby causing a reduction in the power consumption. This method is highly advantageous when the input signals are lengthy since the number of multipliers used is large in number consuming very high power. In order to optimize the FFT architecture the number of multipliers is reduced thereby causing a significant reduction in power. The prototype for Radix-2 (8 point) and Radix-4 (16 point) optimized FFT is designed, implemented and simulated using Altera ModelSim DE2 EP2C35F672C6 FPGA device. The proposed Radix-2 (8 point) and Radix-4 (16 point) optimized FFT operates at a speed of 10.41 Gbps and 21.23 Gbps respectively.
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
一种面积高效的高速优化FFT算法
近年来,快速傅里叶变换被认为是一种计算离散傅里叶变换的有效算法,在许多应用中得到了广泛的应用。大序列实时数据的快速傅里叶变换计算过程变得复杂而繁琐。因此,有必要设计一种能够在低功耗的情况下对大序列数据进行FFT计算的系统。本文介绍了低功耗Radix-8 DIT FFT的设计。提出的设计旨在减少用于计算FFT的乘法器的数量。这是通过交换输入项并重新排序来实现的。这导致用于执行计算的乘法器数量减少,从而导致功耗降低。这种方法在输入信号较长的情况下非常有利,因为使用的乘法器数量多,消耗的功率非常高。为了优化FFT架构,减少了乘法器的数量,从而显著降低了功耗。利用Altera ModelSim DE2 EP2C35F672C6 FPGA器件设计、实现和仿真了Radix-2(8点)和Radix-4(16点)优化的FFT原型。所提出的Radix-2(8点)和Radix-4(16点)优化的FFT分别以10.41 Gbps和21.23 Gbps的速度运行。
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
Design and implementation of programmable read only memory using reversible decoder on FPGA Literature survey on traffic-based server load balancing using SDN and open flow A survey on ARP cache poisoning and techniques for detection and mitigation Machine condition monitoring using audio signature analysis Robust audio watermarking for monitoring and information embedding
×
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