Tsung-Ching Lin, Shao-I Chu, Hsin-Chiu Chang, Hung-Peng Lee
{"title":"Decoding the (31, 16, 7) quadratic residue code in GF(2^5)","authors":"Tsung-Ching Lin, Shao-I Chu, Hsin-Chiu Chang, Hung-Peng Lee","doi":"10.1109/ICCSE.2009.5228451","DOIUrl":null,"url":null,"abstract":"The binary QR codes are well known for their good behavior. The proposed algebraic decoding algorithm for decoding the (31, 16, 7) QR code with reducible generator polynomial is able to correct up to three errors in the finite field GF(25). The proposed algorithm is based on an application of the decoding algorithm given by Truong et al. and Chen et al. to modify the decoding algorithm proposed by Reed et al. All syndromes in the error-locator polynomial are computed in the finite field GF(25). Thus, the decoding time can be reduced. Moreover, the simulation results for comparing the proposed decoding algorithm with decoding algorithm given by Reed et al. are given. This algorithm is suitable for implementation in a programmable microprocessor or special-purpose VLSI chip.","PeriodicalId":303484,"journal":{"name":"2009 4th International Conference on Computer Science & Education","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 4th International Conference on Computer Science & Education","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCSE.2009.5228451","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
The binary QR codes are well known for their good behavior. The proposed algebraic decoding algorithm for decoding the (31, 16, 7) QR code with reducible generator polynomial is able to correct up to three errors in the finite field GF(25). The proposed algorithm is based on an application of the decoding algorithm given by Truong et al. and Chen et al. to modify the decoding algorithm proposed by Reed et al. All syndromes in the error-locator polynomial are computed in the finite field GF(25). Thus, the decoding time can be reduced. Moreover, the simulation results for comparing the proposed decoding algorithm with decoding algorithm given by Reed et al. are given. This algorithm is suitable for implementation in a programmable microprocessor or special-purpose VLSI chip.
二进制QR码以其良好的性能而闻名。所提出的具有可约生成器多项式的(31,16,7)QR码的代数解码算法能够在有限域GF(25)中纠正最多三个错误。该算法基于Truong et al.和Chen et al.给出的译码算法,对Reed et al.提出的译码算法进行修改。在有限域GF(25)中计算误差定位多项式中的所有证型。因此,可以减少解码时间。并给出了与Reed等人给出的译码算法进行比较的仿真结果。该算法适用于在可编程微处理器或专用VLSI芯片上实现。