An efficient transformation method for DFRM expansions

H. Xu, M. Yang, L. Wang, J. Tong, A. Almaini
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引用次数: 1

Abstract

Dual Form of Reed-Muller (DFRM) expansions with fixed polarity are derived from Reed-Muller (RM) expansions by using the operation of Kronecker matrix products. An efficient decomposition method is proposed based on the formulation. The method can be used for the transformation between from DFRM expansions to RM expansions within the same fixed polarity as well. Hence, the proposed method is bidirectional. After decomposition, the calculation of the duplicated matrix is avoided, resulting in less computation time. Time complexity of the algorithm is 0(21.5n). The time used for small variables is virtual zero for the tested MCNC benchmarks. For large variable, it still works very well and achieves less than 20 seconds for 25-variable benchmark. In the implementation, only on-set coefficients are used. Consequently, the space complexity is O(M), where M is the number of on-set coefficients. It makes simultaneous optimization in both RM and DFRM expansions possible.
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DFRM展开式的一种有效变换方法
利用Kronecker矩阵积的运算,从Reed-Muller (RM)展开中导出了具有固定极性的Reed-Muller (DFRM)展开式的对偶形式。在此基础上提出了一种高效的分解方法。该方法也可用于在同一固定极性下从DFRM展开到RM展开的转换。因此,所提出的方法是双向的。分解后,避免了重复矩阵的计算,减少了计算时间。算法的时间复杂度为0(21.5n)。对于测试的MCNC基准,用于小变量的时间几乎为零。对于大变量,它仍然可以很好地工作,并且在25个变量的基准测试中不到20秒。在实现中,只使用on-set系数。因此,空间复杂度为O(M),其中M为on-set系数的个数。它使RM和DFRM扩展中的同时优化成为可能。
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