{"title":"一种变参数高效μ律改进的比例仿射投影算法","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":"{\"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}","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}
A variable parameter efficient μ-law improved proportionate affine projection algorithm
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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