{"title":"利用四元数从三个实值瞬时线性混合物中分离三个源的闭形式半盲分离","authors":"V. Zarzoso, A. Nandi","doi":"10.1109/ISSPA.2001.949760","DOIUrl":null,"url":null,"abstract":"In the problem of blind source separation from instantaneous linear mixtures, a unitary transformation remains unknown after second-order spatial whitening. We present a novel approach for the identification of the orthogonal matrix in the real-valued three-signal scenario which, in contrast to existing procedures, operates in a single closed-form step, with no iterations. The new approach is based on intuitive geometrical notions and the theory of quaternions, and develops into a practical semi-blind method requiring certain prior knowledge on the source statistics. A simple numerical experiment illustrates the proposed algorithm.","PeriodicalId":236050,"journal":{"name":"Proceedings of the Sixth International Symposium on Signal Processing and its Applications (Cat.No.01EX467)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Closed-form semi-blind separation of three sources from three real-valued instantaneous linear mixtures via quaternions\",\"authors\":\"V. Zarzoso, A. Nandi\",\"doi\":\"10.1109/ISSPA.2001.949760\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the problem of blind source separation from instantaneous linear mixtures, a unitary transformation remains unknown after second-order spatial whitening. We present a novel approach for the identification of the orthogonal matrix in the real-valued three-signal scenario which, in contrast to existing procedures, operates in a single closed-form step, with no iterations. The new approach is based on intuitive geometrical notions and the theory of quaternions, and develops into a practical semi-blind method requiring certain prior knowledge on the source statistics. A simple numerical experiment illustrates the proposed algorithm.\",\"PeriodicalId\":236050,\"journal\":{\"name\":\"Proceedings of the Sixth International Symposium on Signal Processing and its Applications (Cat.No.01EX467)\",\"volume\":\"11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the Sixth International Symposium on Signal Processing and its Applications (Cat.No.01EX467)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISSPA.2001.949760\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Sixth International Symposium on Signal Processing and its Applications (Cat.No.01EX467)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISSPA.2001.949760","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Closed-form semi-blind separation of three sources from three real-valued instantaneous linear mixtures via quaternions
In the problem of blind source separation from instantaneous linear mixtures, a unitary transformation remains unknown after second-order spatial whitening. We present a novel approach for the identification of the orthogonal matrix in the real-valued three-signal scenario which, in contrast to existing procedures, operates in a single closed-form step, with no iterations. The new approach is based on intuitive geometrical notions and the theory of quaternions, and develops into a practical semi-blind method requiring certain prior knowledge on the source statistics. A simple numerical experiment illustrates the proposed algorithm.