{"title":"用独立分量分析从分段恒定增益混合物中盲分离信号","authors":"H. Pullela, P. Rajan","doi":"10.1109/SSST.2004.1295700","DOIUrl":null,"url":null,"abstract":"An algorithm is developed to separate signals mixed with piecewise constant matrices. Independent component analysis technique is employed to separate the signals. Algorithms are presented to identify the lengths of the segments and remove order, scaling and sign ambiguities present in the independent component analysis of consecutive segments.","PeriodicalId":309617,"journal":{"name":"Thirty-Sixth Southeastern Symposium on System Theory, 2004. Proceedings of the","volume":"175 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Blind separation of signals from piece-wise constant gain mixtures using independent component analysis\",\"authors\":\"H. Pullela, P. Rajan\",\"doi\":\"10.1109/SSST.2004.1295700\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An algorithm is developed to separate signals mixed with piecewise constant matrices. Independent component analysis technique is employed to separate the signals. Algorithms are presented to identify the lengths of the segments and remove order, scaling and sign ambiguities present in the independent component analysis of consecutive segments.\",\"PeriodicalId\":309617,\"journal\":{\"name\":\"Thirty-Sixth Southeastern Symposium on System Theory, 2004. Proceedings of the\",\"volume\":\"175 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2004-09-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Thirty-Sixth Southeastern Symposium on System Theory, 2004. Proceedings of the\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SSST.2004.1295700\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Thirty-Sixth Southeastern Symposium on System Theory, 2004. Proceedings of the","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SSST.2004.1295700","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Blind separation of signals from piece-wise constant gain mixtures using independent component analysis
An algorithm is developed to separate signals mixed with piecewise constant matrices. Independent component analysis technique is employed to separate the signals. Algorithms are presented to identify the lengths of the segments and remove order, scaling and sign ambiguities present in the independent component analysis of consecutive segments.
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