{"title":"快速离散傅里叶变换的嵌套算法","authors":"W. Siu","doi":"10.1109/ICASSP.1988.196997","DOIUrl":null,"url":null,"abstract":"The use of a nesting discrete Fourier transform technique to compute discrete Fourier transform is proposed. This technique only relies on two primitive modules and other modules are generated by a standard nesting procedure. The speed of computation of this approach is comparable to the speed of computation of the WFTA, whereas the program size of the present approach is smaller than that of the WFTA. This approach is most suitable for cases where there are restrictions on memory size.<<ETX>>","PeriodicalId":448544,"journal":{"name":"ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing","volume":"126 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1988-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A nesting algorithm for very fast discrete Fourier transforms\",\"authors\":\"W. Siu\",\"doi\":\"10.1109/ICASSP.1988.196997\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The use of a nesting discrete Fourier transform technique to compute discrete Fourier transform is proposed. This technique only relies on two primitive modules and other modules are generated by a standard nesting procedure. The speed of computation of this approach is comparable to the speed of computation of the WFTA, whereas the program size of the present approach is smaller than that of the WFTA. This approach is most suitable for cases where there are restrictions on memory size.<<ETX>>\",\"PeriodicalId\":448544,\"journal\":{\"name\":\"ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing\",\"volume\":\"126 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1988-04-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICASSP.1988.196997\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICASSP.1988.196997","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A nesting algorithm for very fast discrete Fourier transforms
The use of a nesting discrete Fourier transform technique to compute discrete Fourier transform is proposed. This technique only relies on two primitive modules and other modules are generated by a standard nesting procedure. The speed of computation of this approach is comparable to the speed of computation of the WFTA, whereas the program size of the present approach is smaller than that of the WFTA. This approach is most suitable for cases where there are restrictions on memory size.<>