{"title":"一种新的仿射投影算法误差减小方法","authors":"S. Koike","doi":"10.1109/CIT.2017.18","DOIUrl":null,"url":null,"abstract":"This paper proposes a new method of reducing the steady-state error for the Affine Projection Algorithm (APA) using Error Reduction Factor (ERF) to yield Error Reduction Affine Projection Algorithm (ER-APA). The proposed method is very simple but highly effective. In the paper, we analyze the ER-APA for calculating theoretical filter convergence. Through experiments, it is shown that the ER-APA sufficiently reduces the steady-state error for any value of the dimension of projection, while preserving the fast convergence property of the APA.","PeriodicalId":378423,"journal":{"name":"2017 IEEE International Conference on Computer and Information Technology (CIT)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A New Method of Error Reduction for Affine Projection Algorithm\",\"authors\":\"S. Koike\",\"doi\":\"10.1109/CIT.2017.18\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes a new method of reducing the steady-state error for the Affine Projection Algorithm (APA) using Error Reduction Factor (ERF) to yield Error Reduction Affine Projection Algorithm (ER-APA). The proposed method is very simple but highly effective. In the paper, we analyze the ER-APA for calculating theoretical filter convergence. Through experiments, it is shown that the ER-APA sufficiently reduces the steady-state error for any value of the dimension of projection, while preserving the fast convergence property of the APA.\",\"PeriodicalId\":378423,\"journal\":{\"name\":\"2017 IEEE International Conference on Computer and Information Technology (CIT)\",\"volume\":\"12 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 IEEE International Conference on Computer and Information Technology (CIT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CIT.2017.18\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE International Conference on Computer and Information Technology (CIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIT.2017.18","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A New Method of Error Reduction for Affine Projection Algorithm
This paper proposes a new method of reducing the steady-state error for the Affine Projection Algorithm (APA) using Error Reduction Factor (ERF) to yield Error Reduction Affine Projection Algorithm (ER-APA). The proposed method is very simple but highly effective. In the paper, we analyze the ER-APA for calculating theoretical filter convergence. Through experiments, it is shown that the ER-APA sufficiently reduces the steady-state error for any value of the dimension of projection, while preserving the fast convergence property of the APA.