On optimal weight assignmnents for multivariate interpolation list-decoding

R. Koetter
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引用次数: 7

Abstract

We consider the weight assignment problem for multivariate interpolation-based decoding. The resulting optimization problem is solved under the assumption that the codes are not too short (the integrality gap for our relaxations approaches zero as the code length grows) and the optimal weight assignment scheme is given for the criterion of maximizing an allowable additive cost (e.g. Hamming distance or log-probability, etc.) of an error event.
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多元插值列表解码的最优权值分配
研究了多元插值译码的权值分配问题。在假设码不太短(随着码长增加松弛松弛的完整性间隙趋近于零)的情况下,求解了优化问题,并给出了错误事件允许附加代价(如汉明距离或对数概率等)最大化准则的最优权分配方案。
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