{"title":"一种CMOS浮点运算芯片","authors":"J. Eldon","doi":"10.1109/ARITH.1985.6158945","DOIUrl":null,"url":null,"abstract":"Although the advantages of floating point arithmetic have long been recognized, hardware complexity and expense have impeded its use in high speed digital signal processing (DSP). Now, however, the availability of a growing number of fast dedicated floating point adder and multiplier chips is spurring renewed interest in floating point for real time filtering and spectral analysis.","PeriodicalId":6526,"journal":{"name":"2015 IEEE 22nd Symposium on Computer Arithmetic","volume":"19 2 1","pages":"101-107"},"PeriodicalIF":0.0000,"publicationDate":"1985-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A family of CMOS floating point arithmetic chips\",\"authors\":\"J. Eldon\",\"doi\":\"10.1109/ARITH.1985.6158945\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Although the advantages of floating point arithmetic have long been recognized, hardware complexity and expense have impeded its use in high speed digital signal processing (DSP). Now, however, the availability of a growing number of fast dedicated floating point adder and multiplier chips is spurring renewed interest in floating point for real time filtering and spectral analysis.\",\"PeriodicalId\":6526,\"journal\":{\"name\":\"2015 IEEE 22nd Symposium on Computer Arithmetic\",\"volume\":\"19 2 1\",\"pages\":\"101-107\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1985-06-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE 22nd Symposium on Computer Arithmetic\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ARITH.1985.6158945\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE 22nd Symposium on Computer Arithmetic","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ARITH.1985.6158945","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Although the advantages of floating point arithmetic have long been recognized, hardware complexity and expense have impeded its use in high speed digital signal processing (DSP). Now, however, the availability of a growing number of fast dedicated floating point adder and multiplier chips is spurring renewed interest in floating point for real time filtering and spectral analysis.