{"title":"在已知重尾噪声中检测已知调频信号","authors":"B. Barkat, J. Yingtuo, K. Abed-Meraim","doi":"10.1109/ISSPIT.2003.1341077","DOIUrl":null,"url":null,"abstract":"We consider the detection of a known frequency modulated signal corrupted by a known heavy-tailed additive noise. Two different techniques are presented. The first one is based on the Neyman-Pearson theorem and the second technique is based on the time-frequency distribution of the signal. A statistical performance comparison, using the receiver operating characteristics (ROC), of the two methods is also presented.","PeriodicalId":332887,"journal":{"name":"Proceedings of the 3rd IEEE International Symposium on Signal Processing and Information Technology (IEEE Cat. No.03EX795)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Detection of known FM signals in known heavy-tailed noise\",\"authors\":\"B. Barkat, J. Yingtuo, K. Abed-Meraim\",\"doi\":\"10.1109/ISSPIT.2003.1341077\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We consider the detection of a known frequency modulated signal corrupted by a known heavy-tailed additive noise. Two different techniques are presented. The first one is based on the Neyman-Pearson theorem and the second technique is based on the time-frequency distribution of the signal. A statistical performance comparison, using the receiver operating characteristics (ROC), of the two methods is also presented.\",\"PeriodicalId\":332887,\"journal\":{\"name\":\"Proceedings of the 3rd IEEE International Symposium on Signal Processing and Information Technology (IEEE Cat. No.03EX795)\",\"volume\":\"22 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2003-12-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 3rd IEEE International Symposium on Signal Processing and Information Technology (IEEE Cat. No.03EX795)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISSPIT.2003.1341077\",\"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 3rd IEEE International Symposium on Signal Processing and Information Technology (IEEE Cat. No.03EX795)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISSPIT.2003.1341077","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Detection of known FM signals in known heavy-tailed noise
We consider the detection of a known frequency modulated signal corrupted by a known heavy-tailed additive noise. Two different techniques are presented. The first one is based on the Neyman-Pearson theorem and the second technique is based on the time-frequency distribution of the signal. A statistical performance comparison, using the receiver operating characteristics (ROC), of the two methods is also presented.