{"title":"A variable parameter efficient μ-law improved proportionate affine projection algorithm","authors":"Xiao Xia, Songlin Sun, Xiaojun Jing, Hai Huang","doi":"10.1109/CCIS.2011.6045135","DOIUrl":null,"url":null,"abstract":"The proportionate affine projection algorithm (APA) was developed for echo cancellation. To further improve the convergence rate and tracking ability, in this paper, a variable parameter μ of the μ-law compression is applied to a recently μ-law “memory”-improved proportionate APA (MMIPAPA). In proposed algorithm, the parameter μ is not constant, but time varying and adaptive. Compared with MMIPAPA, simulation results show that the proposed algorithm, termed the adaptive μ-law “memory”-improved proportionate APA (AMMIPAPA), achieves better convergence performance and owns better tracking ability.","PeriodicalId":128504,"journal":{"name":"2011 IEEE International Conference on Cloud Computing and Intelligence Systems","volume":"75 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE International Conference on Cloud Computing and Intelligence Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCIS.2011.6045135","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
The proportionate affine projection algorithm (APA) was developed for echo cancellation. To further improve the convergence rate and tracking ability, in this paper, a variable parameter μ of the μ-law compression is applied to a recently μ-law “memory”-improved proportionate APA (MMIPAPA). In proposed algorithm, the parameter μ is not constant, but time varying and adaptive. Compared with MMIPAPA, simulation results show that the proposed algorithm, termed the adaptive μ-law “memory”-improved proportionate APA (AMMIPAPA), achieves better convergence performance and owns better tracking ability.
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