{"title":"一种新的时角相关分布源模型","authors":"W. Xiong, Z. Ye, Qiong Li, Xu Xu","doi":"10.1109/ICNNSP.2003.1281110","DOIUrl":null,"url":null,"abstract":"This paper expands the temporal-angular independent distributed source model to a temporal-angular correlative model by using 1-order AR model and Von Mises angular function. Then it analyses and simulates the new model's Cramer-Rao Bound (CRB). Theoretical analysis and simulations illustrate that the new model is effective.","PeriodicalId":336216,"journal":{"name":"International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A new temporal-angular correlative distributed source model\",\"authors\":\"W. Xiong, Z. Ye, Qiong Li, Xu Xu\",\"doi\":\"10.1109/ICNNSP.2003.1281110\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper expands the temporal-angular independent distributed source model to a temporal-angular correlative model by using 1-order AR model and Von Mises angular function. Then it analyses and simulates the new model's Cramer-Rao Bound (CRB). Theoretical analysis and simulations illustrate that the new model is effective.\",\"PeriodicalId\":336216,\"journal\":{\"name\":\"International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003\",\"volume\":\"28 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICNNSP.2003.1281110\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICNNSP.2003.1281110","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A new temporal-angular correlative distributed source model
This paper expands the temporal-angular independent distributed source model to a temporal-angular correlative model by using 1-order AR model and Von Mises angular function. Then it analyses and simulates the new model's Cramer-Rao Bound (CRB). Theoretical analysis and simulations illustrate that the new model is effective.