{"title":"一种经典的自适应滤波盲信号分离","authors":"M. Elsabrouty, M. Bouchard, Tyseer Aboulnasr","doi":"10.1109/IWSOC.2006.348258","DOIUrl":null,"url":null,"abstract":"A classical adaptive filtering view of the problem of instantaneous blind signal separation is presented. This classical form enables an easy understanding of the natural gradient algorithm. A new RLS-based algorithm is developed using this classical interpretation. The algorithm provides improved on-line separation speed under the same steady state error compared to the natural gradient algorithm without requiring pre-whitening","PeriodicalId":134742,"journal":{"name":"2006 6th International Workshop on System on Chip for Real Time Applications","volume":"27 5","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Classical Adaptive Filtering Blind Signal Separation\",\"authors\":\"M. Elsabrouty, M. Bouchard, Tyseer Aboulnasr\",\"doi\":\"10.1109/IWSOC.2006.348258\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A classical adaptive filtering view of the problem of instantaneous blind signal separation is presented. This classical form enables an easy understanding of the natural gradient algorithm. A new RLS-based algorithm is developed using this classical interpretation. The algorithm provides improved on-line separation speed under the same steady state error compared to the natural gradient algorithm without requiring pre-whitening\",\"PeriodicalId\":134742,\"journal\":{\"name\":\"2006 6th International Workshop on System on Chip for Real Time Applications\",\"volume\":\"27 5\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2006 6th International Workshop on System on Chip for Real Time Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IWSOC.2006.348258\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 6th International Workshop on System on Chip for Real Time Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IWSOC.2006.348258","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Classical Adaptive Filtering Blind Signal Separation
A classical adaptive filtering view of the problem of instantaneous blind signal separation is presented. This classical form enables an easy understanding of the natural gradient algorithm. A new RLS-based algorithm is developed using this classical interpretation. The algorithm provides improved on-line separation speed under the same steady state error compared to the natural gradient algorithm without requiring pre-whitening
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