{"title":"Novel Least Mean Square Algorithm","authors":"B. T. Krishna","doi":"10.1109/ISPACS.2016.7824680","DOIUrl":null,"url":null,"abstract":"A Novel Least Mean Square(LMS) algorithm using First order Al-Alaoui differentiator is proposed. The condition for stability is also derived. The performance of the novel technique is compared with existing algorithms by taking an example. The results prove the efficacy of the proposed Algorithm.","PeriodicalId":131543,"journal":{"name":"2016 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISPACS.2016.7824680","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
A Novel Least Mean Square(LMS) algorithm using First order Al-Alaoui differentiator is proposed. The condition for stability is also derived. The performance of the novel technique is compared with existing algorithms by taking an example. The results prove the efficacy of the proposed Algorithm.
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