{"title":"错误编码仿射投影算法","authors":"Alejandro Rodriguez, J. Sanchez, J. Avalos","doi":"10.1109/ICMEAE.2015.45","DOIUrl":null,"url":null,"abstract":"This paper presents a modification to the AffineProjection-Like I Algorithm for adaptive filtering withthe purpose of reducing the number of updates and sothe computational load. The modification is achievedby codifying the error and setting a threshold in orderthat the adaptive filter does not need to calculate thealgorithm every iteration. Simulation results showsame convergence speed than the Affine Projection-Like I algorithm, however, number of updates areconsiderably less comparing them to Affine Projection-Like I algorithm.","PeriodicalId":226698,"journal":{"name":"2015 International Conference on Mechatronics, Electronics and Automotive Engineering (ICMEAE)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Error Coded Affine Projection Like Algorithm\",\"authors\":\"Alejandro Rodriguez, J. Sanchez, J. Avalos\",\"doi\":\"10.1109/ICMEAE.2015.45\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a modification to the AffineProjection-Like I Algorithm for adaptive filtering withthe purpose of reducing the number of updates and sothe computational load. The modification is achievedby codifying the error and setting a threshold in orderthat the adaptive filter does not need to calculate thealgorithm every iteration. Simulation results showsame convergence speed than the Affine Projection-Like I algorithm, however, number of updates areconsiderably less comparing them to Affine Projection-Like I algorithm.\",\"PeriodicalId\":226698,\"journal\":{\"name\":\"2015 International Conference on Mechatronics, Electronics and Automotive Engineering (ICMEAE)\",\"volume\":\"21 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-11-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 International Conference on Mechatronics, Electronics and Automotive Engineering (ICMEAE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICMEAE.2015.45\",\"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 Conference on Mechatronics, Electronics and Automotive Engineering (ICMEAE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMEAE.2015.45","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper presents a modification to the AffineProjection-Like I Algorithm for adaptive filtering withthe purpose of reducing the number of updates and sothe computational load. The modification is achievedby codifying the error and setting a threshold in orderthat the adaptive filter does not need to calculate thealgorithm every iteration. Simulation results showsame convergence speed than the Affine Projection-Like I algorithm, however, number of updates areconsiderably less comparing them to Affine Projection-Like I algorithm.