{"title":"二进制BCH码的快速译码算法","authors":"W. Penzhorn","doi":"10.1109/COMSIG.1993.365872","DOIUrl":null,"url":null,"abstract":"It is shown how to determine the error locator polynomial of a primitive, binary t-error correcting BCH code directly. Towards this end the set of t syndrome polynomial equations is transformed into an equivalent set of equations, by making use of the Buchberger (1985) algorithm for polynomial reduction. This results in the so-called reduced Grobner basis for a set of polynomial equations, and allows the direct solution of the error locator polynomial. For small number of errors this leads to a substantial reduction in decoding complexity.<<ETX>>","PeriodicalId":398160,"journal":{"name":"1993 IEEE South African Symposium on Communications and Signal Processing","volume":"2620 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1993-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A fast algorithm for the decoding of binary BCH codes\",\"authors\":\"W. Penzhorn\",\"doi\":\"10.1109/COMSIG.1993.365872\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"It is shown how to determine the error locator polynomial of a primitive, binary t-error correcting BCH code directly. Towards this end the set of t syndrome polynomial equations is transformed into an equivalent set of equations, by making use of the Buchberger (1985) algorithm for polynomial reduction. This results in the so-called reduced Grobner basis for a set of polynomial equations, and allows the direct solution of the error locator polynomial. For small number of errors this leads to a substantial reduction in decoding complexity.<<ETX>>\",\"PeriodicalId\":398160,\"journal\":{\"name\":\"1993 IEEE South African Symposium on Communications and Signal Processing\",\"volume\":\"2620 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1993-08-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"1993 IEEE South African Symposium on Communications and Signal Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/COMSIG.1993.365872\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"1993 IEEE South African Symposium on Communications and Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/COMSIG.1993.365872","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A fast algorithm for the decoding of binary BCH codes
It is shown how to determine the error locator polynomial of a primitive, binary t-error correcting BCH code directly. Towards this end the set of t syndrome polynomial equations is transformed into an equivalent set of equations, by making use of the Buchberger (1985) algorithm for polynomial reduction. This results in the so-called reduced Grobner basis for a set of polynomial equations, and allows the direct solution of the error locator polynomial. For small number of errors this leads to a substantial reduction in decoding complexity.<>