{"title":"Fixed-point optimization utility for C and C++ based digital signal processing programs","authors":"Seehyun Kim, Ki-Il Kum, Wonyong Sung","doi":"10.1109/VLSISP.1995.527491","DOIUrl":null,"url":null,"abstract":"Two fixed-point optimization utility programs, the range estimator and the fixed-point simulator, are developed for scaling and wordlength determination of digital signal processing algorithms written in C or C++ language. By exploiting the operator overloading characteristics of C++ language, range estimation and fixed-point simulation can be conducted just by modifying the variable declaration of the original floating-point digital signal processing program. Since this utility evaluates the range and the fixed-point performance by simulation, not by analytical methods, it is easily applicable to nearly all type of digital signal processing algorithms including non-linear and time-varying systems. In addition, this utility software can be used for comparing the fixed-point characteristics of different implementation architectures.","PeriodicalId":286121,"journal":{"name":"VLSI Signal Processing, VIII","volume":"57 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"247","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"VLSI Signal Processing, VIII","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/VLSISP.1995.527491","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 247
Abstract
Two fixed-point optimization utility programs, the range estimator and the fixed-point simulator, are developed for scaling and wordlength determination of digital signal processing algorithms written in C or C++ language. By exploiting the operator overloading characteristics of C++ language, range estimation and fixed-point simulation can be conducted just by modifying the variable declaration of the original floating-point digital signal processing program. Since this utility evaluates the range and the fixed-point performance by simulation, not by analytical methods, it is easily applicable to nearly all type of digital signal processing algorithms including non-linear and time-varying systems. In addition, this utility software can be used for comparing the fixed-point characteristics of different implementation architectures.