{"title":"一个基数为12的FFT构建块","authors":"S. White","doi":"10.1109/ACSSC.1993.342526","DOIUrl":null,"url":null,"abstract":"By increasing the radix of an FFT building block, we can reduce the total number of arithmetic operations required to perform short-term spectral analyses. For a number of analysis points equal to or slightly less than a power of 12, use of the radix-12 building block reduces power consumption by a factor that lies typically between 2 and 5.<<ETX>>","PeriodicalId":266447,"journal":{"name":"Proceedings of 27th Asilomar Conference on Signals, Systems and Computers","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1993-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A radix-12 FFT building block\",\"authors\":\"S. White\",\"doi\":\"10.1109/ACSSC.1993.342526\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"By increasing the radix of an FFT building block, we can reduce the total number of arithmetic operations required to perform short-term spectral analyses. For a number of analysis points equal to or slightly less than a power of 12, use of the radix-12 building block reduces power consumption by a factor that lies typically between 2 and 5.<<ETX>>\",\"PeriodicalId\":266447,\"journal\":{\"name\":\"Proceedings of 27th Asilomar Conference on Signals, Systems and Computers\",\"volume\":\"12 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1993-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of 27th Asilomar Conference on Signals, Systems and Computers\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ACSSC.1993.342526\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 27th Asilomar Conference on Signals, Systems and Computers","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ACSSC.1993.342526","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
By increasing the radix of an FFT building block, we can reduce the total number of arithmetic operations required to perform short-term spectral analyses. For a number of analysis points equal to or slightly less than a power of 12, use of the radix-12 building block reduces power consumption by a factor that lies typically between 2 and 5.<>