{"title":"利用二阶统计量进行盲源分离的顺序方法","authors":"Chunqi Chang, S. Yau, P. Kwok, F. K. Lam, F. Chan","doi":"10.1109/ICICS.1997.652266","DOIUrl":null,"url":null,"abstract":"A general result on identifiability for the blind source separation problem, based on second order statistics only, is presented. The separation principle using second order statistics is first proposed. This is followed by a discussion on a number of algorithms to separate the sources one by one.","PeriodicalId":71361,"journal":{"name":"信息通信技术","volume":"8 2 1","pages":"1608-1612 vol.3"},"PeriodicalIF":0.0000,"publicationDate":"1997-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":"{\"title\":\"Sequential approach to blind source separation using second order statistics\",\"authors\":\"Chunqi Chang, S. Yau, P. Kwok, F. K. Lam, F. Chan\",\"doi\":\"10.1109/ICICS.1997.652266\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A general result on identifiability for the blind source separation problem, based on second order statistics only, is presented. The separation principle using second order statistics is first proposed. This is followed by a discussion on a number of algorithms to separate the sources one by one.\",\"PeriodicalId\":71361,\"journal\":{\"name\":\"信息通信技术\",\"volume\":\"8 2 1\",\"pages\":\"1608-1612 vol.3\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1997-09-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"15\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"信息通信技术\",\"FirstCategoryId\":\"1093\",\"ListUrlMain\":\"https://doi.org/10.1109/ICICS.1997.652266\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"信息通信技术","FirstCategoryId":"1093","ListUrlMain":"https://doi.org/10.1109/ICICS.1997.652266","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Sequential approach to blind source separation using second order statistics
A general result on identifiability for the blind source separation problem, based on second order statistics only, is presented. The separation principle using second order statistics is first proposed. This is followed by a discussion on a number of algorithms to separate the sources one by one.
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