{"title":"介绍定点乘法和信号处理的应用","authors":"T. Fryza","doi":"10.1109/RADIOELEK.2009.5158771","DOIUrl":null,"url":null,"abstract":"The contribution deals with a binary representation of integer and real numbers. In domain of digital signal processing the number representation is either in fixed-point or floating-point form. In the text the algorithm for unsigned binary multiplication for fixed-point representation is presented. There are many processors with fixed or floating-point representation and there are also several blocks used for arithmetical operations in FPGA. But generally these blocks do not have a large variability in terms of bit width. The goal of the contribution is mainly to present an arithmetical model and to evaluate its complexity for a large number of possible implemented algorithms. For testing of product algorithm the multidimensional convolution of gray scale images was performed as well.","PeriodicalId":285174,"journal":{"name":"2009 19th International Conference Radioelektronika","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Introduction to fixed-point multiplication and signal processing application\",\"authors\":\"T. Fryza\",\"doi\":\"10.1109/RADIOELEK.2009.5158771\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The contribution deals with a binary representation of integer and real numbers. In domain of digital signal processing the number representation is either in fixed-point or floating-point form. In the text the algorithm for unsigned binary multiplication for fixed-point representation is presented. There are many processors with fixed or floating-point representation and there are also several blocks used for arithmetical operations in FPGA. But generally these blocks do not have a large variability in terms of bit width. The goal of the contribution is mainly to present an arithmetical model and to evaluate its complexity for a large number of possible implemented algorithms. For testing of product algorithm the multidimensional convolution of gray scale images was performed as well.\",\"PeriodicalId\":285174,\"journal\":{\"name\":\"2009 19th International Conference Radioelektronika\",\"volume\":\"16 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-04-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 19th International Conference Radioelektronika\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RADIOELEK.2009.5158771\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 19th International Conference Radioelektronika","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RADIOELEK.2009.5158771","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Introduction to fixed-point multiplication and signal processing application
The contribution deals with a binary representation of integer and real numbers. In domain of digital signal processing the number representation is either in fixed-point or floating-point form. In the text the algorithm for unsigned binary multiplication for fixed-point representation is presented. There are many processors with fixed or floating-point representation and there are also several blocks used for arithmetical operations in FPGA. But generally these blocks do not have a large variability in terms of bit width. The goal of the contribution is mainly to present an arithmetical model and to evaluate its complexity for a large number of possible implemented algorithms. For testing of product algorithm the multidimensional convolution of gray scale images was performed as well.