{"title":"部分更新NLMS算法的均方分析","authors":"S. Werner, M. Campos, P. Diniz","doi":"10.14209/JCIS.2003.9","DOIUrl":null,"url":null,"abstract":"In this paper, we present mean-squared convergence analysis for the partial-update normalized least-mean square (PU-NLMS) algorithm with closed-form expressions for the case of white input signals. The analysis uses order statistics and the formulas presented here are more accurate than the ones found in the literature for the PU-NLMS algorithm. Simulation results show excellent agreement with the the results predicted by the analysis.","PeriodicalId":310988,"journal":{"name":"Anais do 2002 International Telecommunications Symposium","volume":"47 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Mean-Squared Analysis of the Partial-Update NLMS Algorithm\",\"authors\":\"S. Werner, M. Campos, P. Diniz\",\"doi\":\"10.14209/JCIS.2003.9\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we present mean-squared convergence analysis for the partial-update normalized least-mean square (PU-NLMS) algorithm with closed-form expressions for the case of white input signals. The analysis uses order statistics and the formulas presented here are more accurate than the ones found in the literature for the PU-NLMS algorithm. Simulation results show excellent agreement with the the results predicted by the analysis.\",\"PeriodicalId\":310988,\"journal\":{\"name\":\"Anais do 2002 International Telecommunications Symposium\",\"volume\":\"47 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2003-04-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Anais do 2002 International Telecommunications Symposium\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.14209/JCIS.2003.9\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Anais do 2002 International Telecommunications Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.14209/JCIS.2003.9","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Mean-Squared Analysis of the Partial-Update NLMS Algorithm
In this paper, we present mean-squared convergence analysis for the partial-update normalized least-mean square (PU-NLMS) algorithm with closed-form expressions for the case of white input signals. The analysis uses order statistics and the formulas presented here are more accurate than the ones found in the literature for the PU-NLMS algorithm. Simulation results show excellent agreement with the the results predicted by the analysis.
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