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arXiv 1906.01428cs.ITmath.IT
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一种基于动力系统的单点代数几何码译码关键方程

A Dynamical System-based Key Equation for Decoding One-Point Algebraic-Geometry Codes

Ramamonjy Andriamifidisoa, Rufine Marius Lalasoa, Toussaint Joseph Rabeherimanana

摘要:

仔细研究线性递归序列,我们可以定义一个一元多项式和一个序列的乘法,将其视为具有另一个变量的幂级数,从而产生另一个序列。将此运算推广,得到多元多项式矩阵与幂级数向量的乘法。根据U. Oberst则是由多项式矩阵定义的模的线性映射的核。将这些工具应用于所谓的一点代数几何码的解码中,在证明了作为接收到的字中的错误的一般变换的伴随式阵列是线性递归序列之后,我们构造了一个动力系统。然后,我们证明,这个数组是柯西齐次方程的动力系统的解决方案。Berlekamp-Massey-Sakata算法在解码过程中的目的是确定伴随式阵列,我们已经证明,实际上,该算法解决了关于动力系统的柯西齐次方程。

英文摘要:

A closer look at linear recurring sequences allowed us to define the multiplication of a univariate polynomial and a sequence, viewed as a power series with another variable, resulting in another sequence. Extending this operation, one gets the multiplication of matrices of multivariate polynomials and vectors of powers series. A dynamical system, according to U. Oberst is then the kernel of the linear mapping of modules defined by a polynomial matrix by this operation. Applying these tools in the decoding of the so-called one point algebraic-geometry codes, after showing that the syndrome array, which is the general transform of the error in a received word is a linear recurring sequence, we construct a dynamical system. We then prove that this array is the solution of Cauchy's homogeneous equations with respect to the dynamical system. The aim of the Berlekamp-Massey-Sakata Algorithm in the decoding process being the determination of the syndrome array, we have proved that in fact, this algorithm solves the Cauchy's homogeneous equations with respect to a dynamical system.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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