H. Herpel, P. Windirsch, M. Glesner, J. Führer, J. Busshardt
{"title":"A VLSI implementation of a state variable filter algorithm","authors":"H. Herpel, P. Windirsch, M. Glesner, J. Führer, J. Busshardt","doi":"10.1109/GLSV.1991.143956","DOIUrl":null,"url":null,"abstract":"The authors present a digital signal processor (DSP) architecture whose powerful CPU is optimized to solve a state variable filter algorithm, but is not limited to that application. State variable filters perform low pass filtering and generate the derivatives of the filtered signal. These signals are used in systems for real-time process identification. In order to minimize the number of components, program and data memory, timers, and peripheral control logic are integrated on the DSP chip. Software development for this DSP is supported by an assembler, simulator and high level language compiler. In addition to the presentation of the architecture, a design methodology is introduced which uses rapid prototyping techniques to verify system design and algorithms in their real-time environment.<<ETX>>","PeriodicalId":261873,"journal":{"name":"[1991] Proceedings. First Great Lakes Symposium on VLSI","volume":"72 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1991-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1991] Proceedings. First Great Lakes Symposium on VLSI","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GLSV.1991.143956","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
The authors present a digital signal processor (DSP) architecture whose powerful CPU is optimized to solve a state variable filter algorithm, but is not limited to that application. State variable filters perform low pass filtering and generate the derivatives of the filtered signal. These signals are used in systems for real-time process identification. In order to minimize the number of components, program and data memory, timers, and peripheral control logic are integrated on the DSP chip. Software development for this DSP is supported by an assembler, simulator and high level language compiler. In addition to the presentation of the architecture, a design methodology is introduced which uses rapid prototyping techniques to verify system design and algorithms in their real-time environment.<>