{"title":"基于核的m -玛利调制错误率估计","authors":"Peng Wang, W. Ser, Feng Qian","doi":"10.1109/WCNCW.2013.6533330","DOIUrl":null,"url":null,"abstract":"In recent years, there has been an increasing interest in applying kernel density estimation technique to estimate the transmission error rate, so as to improve the estimation reliability and the data efficiency. However, most of the previous studies on this topic are limited to binary channels. This paper demonstrates that, by selecting an appropriate decision metric, the kernel-based error rate estimation approaches can be easily extended to other type of channels.","PeriodicalId":112418,"journal":{"name":"2013 IEEE Wireless Communications and Networking Conference Workshops (WCNCW)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Kernel-based error rate estimation for M-ary modulation\",\"authors\":\"Peng Wang, W. Ser, Feng Qian\",\"doi\":\"10.1109/WCNCW.2013.6533330\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In recent years, there has been an increasing interest in applying kernel density estimation technique to estimate the transmission error rate, so as to improve the estimation reliability and the data efficiency. However, most of the previous studies on this topic are limited to binary channels. This paper demonstrates that, by selecting an appropriate decision metric, the kernel-based error rate estimation approaches can be easily extended to other type of channels.\",\"PeriodicalId\":112418,\"journal\":{\"name\":\"2013 IEEE Wireless Communications and Networking Conference Workshops (WCNCW)\",\"volume\":\"29 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-04-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 IEEE Wireless Communications and Networking Conference Workshops (WCNCW)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WCNCW.2013.6533330\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE Wireless Communications and Networking Conference Workshops (WCNCW)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WCNCW.2013.6533330","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Kernel-based error rate estimation for M-ary modulation
In recent years, there has been an increasing interest in applying kernel density estimation technique to estimate the transmission error rate, so as to improve the estimation reliability and the data efficiency. However, most of the previous studies on this topic are limited to binary channels. This paper demonstrates that, by selecting an appropriate decision metric, the kernel-based error rate estimation approaches can be easily extended to other type of channels.