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Recursive decoding and its performance for low-rate Reed-Muller codes

机译:递归解码及其在低速率Reed-Muller码中的性能

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Recursive decoding techniques are considered for Reed-Muller (RM) codes of growing length n and fixed order r. An algorithm is designed that has complexity of order nlogn and corrects most error patterns of weight up to n(1/2-/spl epsiv/) given that /spl epsiv/ exceeds n/sup -1/2r/. This improves the asymptotic bounds known for decoding RM codes with nonexponential complexity. To evaluate decoding capability, we develop a probabilistic technique that disintegrates decoding into a sequence of recursive steps. Although dependent, subsequent outputs can be tightly evaluated under the assumption that all preceding decodings are correct. In turn, this allows us to employ second-order analysis and find the error weights for which the decoding error probability vanishes on the entire sequence of decoding steps as the code length n grows.
机译:对于长度增长n和固定阶数r的Reed-Muller(RM)码,考虑使用递归解码技术。设计一种算法,其复杂度为nlogn,并且在/ spl epsiv /超过n / sup -1 / 2r /的情况下,可以校正大多数权重错误模式,最高可达n(1 / 2- / spl epsiv /)。这以非指数复杂性改善了用于解码RM代码的已知渐近边界。为了评估解码能力,我们开发了一种将解码分解为一系列递归步骤的概率技术。尽管是依赖的,但可以在所有先前解码均正确的假设下严格评估后续输出。反过来,这使我们能够进行二阶分析,并找到随着编码长度n的增加,在整个解码步骤序列中解码错误概率消失的错误权重。

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