{"title":"广义Reed-Solomon码二进制展开式的未检测错误概率的上界和下界","authors":"T. Nishijima","doi":"10.1109/ITW2.2006.323749","DOIUrl":null,"url":null,"abstract":"By utilizing certain characteristic structure of the Hamming weight distribution of maximum distance separable codes, we can get weight enumerators to compute an upper and a lower bound on the probability of an undetected error for binary expansions of generalized Reed-Solomon (GRS) codes. Also, values of the average probability of an undetected error are computed by using the average binary weight distribution for an ensemble of binary expansions of all GRS codes for some given concrete code parameters. By comparing these values with values of the upper and the lower bound computed by using the proposed weight enumerators, the effectiveness of those weight enumerators is shown in this paper.","PeriodicalId":299513,"journal":{"name":"2006 IEEE Information Theory Workshop - ITW '06 Chengdu","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"An Upper and a Lower Bound on the Probability of an Undetected Error for Binary Expansions of Generalized Reed-Solomon Codes\",\"authors\":\"T. Nishijima\",\"doi\":\"10.1109/ITW2.2006.323749\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"By utilizing certain characteristic structure of the Hamming weight distribution of maximum distance separable codes, we can get weight enumerators to compute an upper and a lower bound on the probability of an undetected error for binary expansions of generalized Reed-Solomon (GRS) codes. Also, values of the average probability of an undetected error are computed by using the average binary weight distribution for an ensemble of binary expansions of all GRS codes for some given concrete code parameters. By comparing these values with values of the upper and the lower bound computed by using the proposed weight enumerators, the effectiveness of those weight enumerators is shown in this paper.\",\"PeriodicalId\":299513,\"journal\":{\"name\":\"2006 IEEE Information Theory Workshop - ITW '06 Chengdu\",\"volume\":\"28 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2006 IEEE Information Theory Workshop - ITW '06 Chengdu\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ITW2.2006.323749\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 IEEE Information Theory Workshop - ITW '06 Chengdu","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITW2.2006.323749","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An Upper and a Lower Bound on the Probability of an Undetected Error for Binary Expansions of Generalized Reed-Solomon Codes
By utilizing certain characteristic structure of the Hamming weight distribution of maximum distance separable codes, we can get weight enumerators to compute an upper and a lower bound on the probability of an undetected error for binary expansions of generalized Reed-Solomon (GRS) codes. Also, values of the average probability of an undetected error are computed by using the average binary weight distribution for an ensemble of binary expansions of all GRS codes for some given concrete code parameters. By comparing these values with values of the upper and the lower bound computed by using the proposed weight enumerators, the effectiveness of those weight enumerators is shown in this paper.