{"title":"Convex combination for TDLMS adaptive filters","authors":"Ying Wei","doi":"10.1109/ICEDIF.2015.7280195","DOIUrl":null,"url":null,"abstract":"In this paper, transform domain LMS (TDLMS) and TDLMS based on decomposition technology (TDLMS-DT) are mixed together by so-called convex combination approach to achieve relatively fast convergence speed and low steady-state performance. The simulation results confirm the efficiency of the proposed algorithm.","PeriodicalId":355975,"journal":{"name":"2015 International Conference on Estimation, Detection and Information Fusion (ICEDIF)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 International Conference on Estimation, Detection and Information Fusion (ICEDIF)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEDIF.2015.7280195","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
In this paper, transform domain LMS (TDLMS) and TDLMS based on decomposition technology (TDLMS-DT) are mixed together by so-called convex combination approach to achieve relatively fast convergence speed and low steady-state performance. The simulation results confirm the efficiency of the proposed algorithm.