{"title":"System identification with adaptive algorithms","authors":"E. Szopos, M. Topa, N. Toma","doi":"10.1109/EMRTW.2005.195681","DOIUrl":null,"url":null,"abstract":"The paper presents the adaptive LMS algorithm used for system identification. The unknown system is modeled by a FIR filter. After the presentation of the theoretical approach, simulations in Labview and Matlab are provided showing the performance of the method.","PeriodicalId":119938,"journal":{"name":"2005 IEEE 7th CAS Symposium on Emerging Technologies: Circuits and Systems for 4G Mobile Wireless Communications","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2005 IEEE 7th CAS Symposium on Emerging Technologies: Circuits and Systems for 4G Mobile Wireless Communications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EMRTW.2005.195681","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
The paper presents the adaptive LMS algorithm used for system identification. The unknown system is modeled by a FIR filter. After the presentation of the theoretical approach, simulations in Labview and Matlab are provided showing the performance of the method.