{"title":"Implementing digital finite impulse response filter using FPGA","authors":"A. Razak, M.I. Abu Zaharin, N. Haron","doi":"10.1109/APACE.2007.4603854","DOIUrl":null,"url":null,"abstract":"This paper describes the design of Transposed Form FIR filter implemented in the Spartan-II and Virtex-E family of FPGAs. The design is an 8-tap filter based on 16-bit input samples and 14-bit signed coefficients. The basic building blocks of the filter are KCMs, Adders, Registers, and a delay-locked loop. All the 14-bit coefficient factors are stored with an 18-bit word size in the ROM. The program is written in VHDL source code based on application Xilinx notes [1] that describe the design of an FIR filter. The software tools have been used are Xilinx ISE Webpack 8.1, ModelSim 6.1e and Matlab 7.0.","PeriodicalId":356424,"journal":{"name":"2007 Asia-Pacific Conference on Applied Electromagnetics","volume":"133 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 Asia-Pacific Conference on Applied Electromagnetics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APACE.2007.4603854","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 13
Abstract
This paper describes the design of Transposed Form FIR filter implemented in the Spartan-II and Virtex-E family of FPGAs. The design is an 8-tap filter based on 16-bit input samples and 14-bit signed coefficients. The basic building blocks of the filter are KCMs, Adders, Registers, and a delay-locked loop. All the 14-bit coefficient factors are stored with an 18-bit word size in the ROM. The program is written in VHDL source code based on application Xilinx notes [1] that describe the design of an FIR filter. The software tools have been used are Xilinx ISE Webpack 8.1, ModelSim 6.1e and Matlab 7.0.