Yuya Hirai, Kazushi Kawamura, M. Yanagisawa, N. Togawa
{"title":"A selector-based FFT processor and its FPGA implementation","authors":"Yuya Hirai, Kazushi Kawamura, M. Yanagisawa, N. Togawa","doi":"10.1109/ISOCC.2017.8368783","DOIUrl":null,"url":null,"abstract":"Fast Fourier transform (FFT) is used in various applications such as signal processings and developing a high-speed FFT processor is quite required. In this paper, we propose a high-speed FFT processor based on selector logics. The selector-based FFT processor is constructed by focusing on the subtract-multiplication operations and partly applying selector logics to them. Furthermore, we implement the selector-based FFT processor on a Xilinx FPGA. Experimental results show that our proposed FFT processor can improve the processing speed by up to 21% and also reduce the number of LUTs by up to 33% compared with a naive FFT processor.","PeriodicalId":248826,"journal":{"name":"2017 International SoC Design Conference (ISOCC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International SoC Design Conference (ISOCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISOCC.2017.8368783","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Fast Fourier transform (FFT) is used in various applications such as signal processings and developing a high-speed FFT processor is quite required. In this paper, we propose a high-speed FFT processor based on selector logics. The selector-based FFT processor is constructed by focusing on the subtract-multiplication operations and partly applying selector logics to them. Furthermore, we implement the selector-based FFT processor on a Xilinx FPGA. Experimental results show that our proposed FFT processor can improve the processing speed by up to 21% and also reduce the number of LUTs by up to 33% compared with a naive FFT processor.