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New method of predetermining unified unknown syndrome representations for decoding binary cyclic codes

机译:预先确定统一的未知校正子表示形式以解码二进制循环码的新方法

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Recently, the unified unknown syndrome representations to decode a class of binary cyclic codes have been developed by using Lagrange interpolation formula (discussed by Chang and Lee in 2010). In this study, a new method by combining the syndrome matrix search and modified Chinese remainder theorem is proposed to express the unified unknown syndrome representation as a rational function in terms of the known syndromes. A computer simulation has been executed to determine the syndrome matrices for binary cyclic codes of lengths less than or equal to 51. Compared to the Lagrange interpolation method, the method presented here substantially reduces the computational time for binary cyclic codes generated by irreducible polynomials. Finally, a complete decoding of the (31, 16, 7) quadratic residue code with inverse-free Berlekamp-Massey algorithm is given as an illustration.
机译:最近,已经通过使用拉格朗日插值公式(由Chang和Lee在2010年讨论)开发了用于解码一类二进制循环码的统一的未知综合症表示。在这项研究中,提出了一种新的方法,将综合症矩阵搜索与修正的中文余量定理相结合,以将统一的未知综合症表示形式表达为已知综合症的有理函数。已经执行了计算机仿真来确定长度小于或等于51的二进制循环码的校正子矩阵。与Lagrange插值方法相比,此处介绍的方法大大减少了由不可约多项式生成的二进制循环码的计算时间。最后,给出了使用无逆Berlekamp-Massey算法对(31、16、7)二次残差码的完整解码的说明。

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