{"title":"A New Fast Convergence Adaptive Algorithm","authors":"P. Palanisamy, N. Kalyanasundaram","doi":"10.1109/ICSCN.2007.350719","DOIUrl":null,"url":null,"abstract":"In this paper, a new fast convergence adaptive algorithm with variable step size is proposed for FIR adaptive filter. This new proposed algorithm is derived based on the quasi-Newton family. Simulation results are presented to compare the convergence of the proposed algorithm with least mean square (LMS) algorithm and RLS algorithm. It shows that the proposed new algorithm has comparable convergence speed to the other known adaptive algorithms","PeriodicalId":257948,"journal":{"name":"2007 International Conference on Signal Processing, Communications and Networking","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 International Conference on Signal Processing, Communications and Networking","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSCN.2007.350719","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
In this paper, a new fast convergence adaptive algorithm with variable step size is proposed for FIR adaptive filter. This new proposed algorithm is derived based on the quasi-Newton family. Simulation results are presented to compare the convergence of the proposed algorithm with least mean square (LMS) algorithm and RLS algorithm. It shows that the proposed new algorithm has comparable convergence speed to the other known adaptive algorithms
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