{"title":"仿射投影算法的简化统计分析","authors":"S. Koike","doi":"10.1109/ISPACS.2015.7432836","DOIUrl":null,"url":null,"abstract":"This paper develops a statistical analysis of the Affine Projection Algorithm (APA) for adaptive filters to theoretically calculate filter convergence behavior. Assuming that the number of tap weights of the adaptive filter is sufficiently large, we derive simple difference equations that only require matrix computations. In experiments with some examples, it is observed that simulated and theoretically calculated filter convergence curves are generally in good agreement that justifies the approximations used and shows the validity of the analysis for practical use.","PeriodicalId":238787,"journal":{"name":"2015 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A simplified statistical analysis of the Affine Projection Algorithm\",\"authors\":\"S. Koike\",\"doi\":\"10.1109/ISPACS.2015.7432836\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper develops a statistical analysis of the Affine Projection Algorithm (APA) for adaptive filters to theoretically calculate filter convergence behavior. Assuming that the number of tap weights of the adaptive filter is sufficiently large, we derive simple difference equations that only require matrix computations. In experiments with some examples, it is observed that simulated and theoretically calculated filter convergence curves are generally in good agreement that justifies the approximations used and shows the validity of the analysis for practical use.\",\"PeriodicalId\":238787,\"journal\":{\"name\":\"2015 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)\",\"volume\":\"46 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISPACS.2015.7432836\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISPACS.2015.7432836","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A simplified statistical analysis of the Affine Projection Algorithm
This paper develops a statistical analysis of the Affine Projection Algorithm (APA) for adaptive filters to theoretically calculate filter convergence behavior. Assuming that the number of tap weights of the adaptive filter is sufficiently large, we derive simple difference equations that only require matrix computations. In experiments with some examples, it is observed that simulated and theoretically calculated filter convergence curves are generally in good agreement that justifies the approximations used and shows the validity of the analysis for practical use.