Mohammed A. El-Motaz, Ahmed M. El-Shafiey, Mohamed Farag, Omar A. Nasr, H. Fahmy
{"title":"Speeding-up fast fourier transform","authors":"Mohammed A. El-Motaz, Ahmed M. El-Shafiey, Mohamed Farag, Omar A. Nasr, H. Fahmy","doi":"10.1109/ICECS.2015.7440365","DOIUrl":null,"url":null,"abstract":"This work proposes a restructure of FFT algorithm to be more hardware friendly. The proposed algorithm is modeled as a combinatorial optimization problem. This paper presents two sub-optimal schemes of the proposed FFT restructure: one-stage and two-stage optimization. The proposed FFT algorithm is applied on 1024-point Radix-2 Single-Path Delay Feedback (R2SDF) architecture. The one-stage and two-stage optimization schemes achieve reduction in the multipliers area by 40.8% and 62.5%, respectively, compared with the conventional algorithm.","PeriodicalId":215448,"journal":{"name":"2015 IEEE International Conference on Electronics, Circuits, and Systems (ICECS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE International Conference on Electronics, Circuits, and Systems (ICECS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICECS.2015.7440365","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
This work proposes a restructure of FFT algorithm to be more hardware friendly. The proposed algorithm is modeled as a combinatorial optimization problem. This paper presents two sub-optimal schemes of the proposed FFT restructure: one-stage and two-stage optimization. The proposed FFT algorithm is applied on 1024-point Radix-2 Single-Path Delay Feedback (R2SDF) architecture. The one-stage and two-stage optimization schemes achieve reduction in the multipliers area by 40.8% and 62.5%, respectively, compared with the conventional algorithm.