{"title":"用于混合基数-2/3/4/5 fft的无乘法器可重构处理元件","authors":"F. Qureshi, Muazam Ali, J. Takala","doi":"10.1109/SiPS.2017.8110007","DOIUrl":null,"url":null,"abstract":"This paper presents area-efficient building blocks for computing fast Fourier transform (FFT): multiplierless processing elements to be used for computing of radix-3 and radix-5 butterflies and reconfigurable processing element supporting mixed radix-2/3/4/5 FFT algorithms. The proposed processing elements are based on Wingorad Fourier transform algorithm. However, multiplication is performed by constant multiplier instead of a general complex-valued multiplier. The proposed process elements have potential use in both pipelined and memory based FFT architectures, where the non-power-of-two sizes are required. The results show that the proposed multiplierless processing elements reduce the significant hardware cost in terms of adders.","PeriodicalId":251688,"journal":{"name":"2017 IEEE International Workshop on Signal Processing Systems (SiPS)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Multiplierless reconfigurable processing element for mixed radix-2/3/4/5 FFTs\",\"authors\":\"F. Qureshi, Muazam Ali, J. Takala\",\"doi\":\"10.1109/SiPS.2017.8110007\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents area-efficient building blocks for computing fast Fourier transform (FFT): multiplierless processing elements to be used for computing of radix-3 and radix-5 butterflies and reconfigurable processing element supporting mixed radix-2/3/4/5 FFT algorithms. The proposed processing elements are based on Wingorad Fourier transform algorithm. However, multiplication is performed by constant multiplier instead of a general complex-valued multiplier. The proposed process elements have potential use in both pipelined and memory based FFT architectures, where the non-power-of-two sizes are required. The results show that the proposed multiplierless processing elements reduce the significant hardware cost in terms of adders.\",\"PeriodicalId\":251688,\"journal\":{\"name\":\"2017 IEEE International Workshop on Signal Processing Systems (SiPS)\",\"volume\":\"59 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 IEEE International Workshop on Signal Processing Systems (SiPS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SiPS.2017.8110007\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE International Workshop on Signal Processing Systems (SiPS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SiPS.2017.8110007","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Multiplierless reconfigurable processing element for mixed radix-2/3/4/5 FFTs
This paper presents area-efficient building blocks for computing fast Fourier transform (FFT): multiplierless processing elements to be used for computing of radix-3 and radix-5 butterflies and reconfigurable processing element supporting mixed radix-2/3/4/5 FFT algorithms. The proposed processing elements are based on Wingorad Fourier transform algorithm. However, multiplication is performed by constant multiplier instead of a general complex-valued multiplier. The proposed process elements have potential use in both pipelined and memory based FFT architectures, where the non-power-of-two sizes are required. The results show that the proposed multiplierless processing elements reduce the significant hardware cost in terms of adders.