{"title":"一种盲分离环平稳源的新方法","authors":"K. Abed-Meraim, Y. Xiang, J.H. Manron, Y. Hua","doi":"10.1109/SPAWC.1999.783032","DOIUrl":null,"url":null,"abstract":"This paper studies the problem of blind source separation (BSS) under the assumption that the source signals are cyclostationary. Attention is restricted to methods based on second-order cyclostationary statistics (SOCS). Necessary and sufficient conditions for SOCS-based identifiability and SOCS-based separability are presented. Algorithms are developed to achieve BSS using only SOCS.","PeriodicalId":365086,"journal":{"name":"1999 2nd IEEE Workshop on Signal Processing Advances in Wireless Communications (Cat. No.99EX304)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"A new approach to blind separation of cyclostationary sources\",\"authors\":\"K. Abed-Meraim, Y. Xiang, J.H. Manron, Y. Hua\",\"doi\":\"10.1109/SPAWC.1999.783032\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper studies the problem of blind source separation (BSS) under the assumption that the source signals are cyclostationary. Attention is restricted to methods based on second-order cyclostationary statistics (SOCS). Necessary and sufficient conditions for SOCS-based identifiability and SOCS-based separability are presented. Algorithms are developed to achieve BSS using only SOCS.\",\"PeriodicalId\":365086,\"journal\":{\"name\":\"1999 2nd IEEE Workshop on Signal Processing Advances in Wireless Communications (Cat. No.99EX304)\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"1999 2nd IEEE Workshop on Signal Processing Advances in Wireless Communications (Cat. No.99EX304)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SPAWC.1999.783032\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"1999 2nd IEEE Workshop on Signal Processing Advances in Wireless Communications (Cat. No.99EX304)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SPAWC.1999.783032","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A new approach to blind separation of cyclostationary sources
This paper studies the problem of blind source separation (BSS) under the assumption that the source signals are cyclostationary. Attention is restricted to methods based on second-order cyclostationary statistics (SOCS). Necessary and sufficient conditions for SOCS-based identifiability and SOCS-based separability are presented. Algorithms are developed to achieve BSS using only SOCS.