{"title":"早期快速多普勒作为流星爆发通信幅度预测器","authors":"D. Fraser, A. Broadhurst","doi":"10.1109/COMSIG.1992.274284","DOIUrl":null,"url":null,"abstract":"EFD theory, predictions and measurements are presented. Statistical analysis of the results show correlations between EFD and trial characteristics which make forward predictions possible in an open-loop system. Estimates of improved data throughput are given. A method of implementation is given which uses an artificial neural network for trial classification and prediction.<<ETX>>","PeriodicalId":342857,"journal":{"name":"Proceedings of the 1992 South African Symposium on Communications and Signal Processing","volume":"102 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Early fast Doppler as a meteor-burst communications amplitude predictor\",\"authors\":\"D. Fraser, A. Broadhurst\",\"doi\":\"10.1109/COMSIG.1992.274284\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"EFD theory, predictions and measurements are presented. Statistical analysis of the results show correlations between EFD and trial characteristics which make forward predictions possible in an open-loop system. Estimates of improved data throughput are given. A method of implementation is given which uses an artificial neural network for trial classification and prediction.<<ETX>>\",\"PeriodicalId\":342857,\"journal\":{\"name\":\"Proceedings of the 1992 South African Symposium on Communications and Signal Processing\",\"volume\":\"102 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1992-09-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 1992 South African Symposium on Communications and Signal Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/COMSIG.1992.274284\",\"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 1992 South African Symposium on Communications and Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/COMSIG.1992.274284","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Early fast Doppler as a meteor-burst communications amplitude predictor
EFD theory, predictions and measurements are presented. Statistical analysis of the results show correlations between EFD and trial characteristics which make forward predictions possible in an open-loop system. Estimates of improved data throughput are given. A method of implementation is given which uses an artificial neural network for trial classification and prediction.<>