2015arXiv (Cornell University)Open access

On error distance of received words with fixed degrees to Reed-Solomon code

YuJuan Li, Guizhen Zhu

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Abstract

Under polynomial time reduction, the maximum likelihood decoding of a linear code is equivalent to computing the error distance of a received word. It is known that the decoding complexity of standard Reed-Solomon codes at certain radius is at least as hard as the discrete logarithm problem over certain large finite fields. This implies that computing the error distance is hard for standard Reed-Solomon codes. Using some elegant algebraic constructions, we are able to determine the error distance of received words whose degree is k+1 to the Standard Reed-Solomon code or Primitive Reed-Solomon code exactly. Moreover, we can precisely determine the error distance of received words of degree k+2 to the Standard Reed-Solomon codes. As a corollary, we can simply get the results of Zhang-Fu-Liao and Wu-Hong on the deep hole problem of Reed-Solomon codes.

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Under polynomial time reduction, the maximum likelihood decoding of a linear code is equivalent to computing the error distance of a received word. It is known that the decoding complexity of standard Reed-Solomon codes at certain radius is at least as hard as the discrete logarithm problem over certain large finite fields. This implies that computing the error distance is hard for standard Reed-Solomon codes. Using some elegant algebraic constructions, we are able to determine the error distance of received words whose degree is k+1 to the Standard Reed-Solomon code or Primitive Reed-Solomon code exactly. Moreover, we can precisely determine the error distance of received words of degree k+2 to the Standard Reed-Solomon codes. As a corollary, we can simply get the results of Zhang-Fu-Liao and Wu-Hong on the deep hole problem of Reed-Solomon codes.

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Available abstract

Under polynomial time reduction, the maximum likelihood decoding of a linear code is equivalent to computing the error distance of a received word. It is known that the decoding complexity of standard Reed-Solomon codes at certain radius is at least as hard as the discrete logarithm problem over certain large finite fields. This implies that computing the error distance is hard for standard Reed-Solomon codes. Using some elegant algebraic constructions, we are able to determine the error distance of received words whose degree is k+1 to the Standard Reed-Solomon code or Primitive Reed-Solomon code exactly. Moreover, we can precisely determine the error distance of received words of degree k+2 to the Standard Reed-Solomon codes. As a corollary, we can simply get the results of Zhang-Fu-Liao and Wu-Hong on the deep hole problem of Reed-Solomon codes.

Key concepts: Reed–Solomon error correction, Degree (music), Mathematics, Decoding methods, Reed–Muller code, Logarithm, List decoding, Concatenated error correction code

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