用独立分量分析从分段恒定增益混合物中盲分离信号

Thirty-Sixth Southeastern Symposium on System Theory, 2004. Proceedings of the Pub Date : 2004-09-27 DOI:10.1109/SSST.2004.1295700

H. Pullela, P. Rajan

{"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":null,"pages":null},"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\":null,\"pages\":null},\"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}

引用次数: 1

摘要

提出了一种分离分段常数矩阵混合信号的算法。采用独立分量分析技术对信号进行分离。提出了算法来识别片段的长度，并消除顺序，比例和符号歧义存在于连续片段的独立分量分析中。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

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.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Thirty-Sixth Southeastern Symposium on System Theory, 2004. Proceedings of the

自引率

0.00%

发文量