A fast algorithm for multi-level mixed-polarity Reed-Muller functions optimization

Wang Lun-yao, Xia Yin-shui
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引用次数: 1

Abstract

In this paper, an effective strategy of extraction of common variables from onset table is proposed. By employing the strategy, a novel algorithm is presented to derive a compact multi-level mixed-polarity Reed-Muller expression. The experiment results show that the proposed algorithm can significantly reduce the literals of the RM functions. Compared with published results, the proposed algorithm works faster and needs less memory.
多级混合极性Reed-Muller函数优化的快速算法
本文提出了一种有效的从起始表中提取公共变量的策略。利用该策略,提出了一种新的算法来推导紧凑的多级混合极性Reed-Muller表达式。实验结果表明,该算法可以显著减少RM函数的字面量。与已发表的结果相比,该算法运行速度更快,占用内存更少。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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