{"title":"误差谱的近似计算","authors":"Weishi Peng, Yang-wang Fang, Shaohua Chen","doi":"10.1109/ICEDIF.2015.7280206","DOIUrl":null,"url":null,"abstract":"As a comprehensive measure, the error spectrum will be widely used for estimation performance evaluation. However, it's hard to calculate without the error distribution. An approximate algorithm is proposed in this study to solve this problem. Then, how the approximate calculation can be used is illustrated by numerical examples. Finally, the correctness of the algorithm is validated by the simulation results.","PeriodicalId":355975,"journal":{"name":"2015 International Conference on Estimation, Detection and Information Fusion (ICEDIF)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"An approximate calculation for error spectrum\",\"authors\":\"Weishi Peng, Yang-wang Fang, Shaohua Chen\",\"doi\":\"10.1109/ICEDIF.2015.7280206\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"As a comprehensive measure, the error spectrum will be widely used for estimation performance evaluation. However, it's hard to calculate without the error distribution. An approximate algorithm is proposed in this study to solve this problem. Then, how the approximate calculation can be used is illustrated by numerical examples. Finally, the correctness of the algorithm is validated by the simulation results.\",\"PeriodicalId\":355975,\"journal\":{\"name\":\"2015 International Conference on Estimation, Detection and Information Fusion (ICEDIF)\",\"volume\":\"42 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 International Conference on Estimation, Detection and Information Fusion (ICEDIF)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICEDIF.2015.7280206\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 International Conference on Estimation, Detection and Information Fusion (ICEDIF)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEDIF.2015.7280206","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
As a comprehensive measure, the error spectrum will be widely used for estimation performance evaluation. However, it's hard to calculate without the error distribution. An approximate algorithm is proposed in this study to solve this problem. Then, how the approximate calculation can be used is illustrated by numerical examples. Finally, the correctness of the algorithm is validated by the simulation results.