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首页> 外文期刊>IEEE transactions on circuits and systems . I , Regular papers >A New Decomposition Algorithm for Threshold Synthesis and Generalization of Boolean Functions
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A New Decomposition Algorithm for Threshold Synthesis and Generalization of Boolean Functions

机译:布尔函数阈值综合和分解的新分解算法

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摘要

A new algorithm for obtaining efficient architectures composed of threshold gates that implement arbitrary Boolean functions is introduced. The method reduces the complexity of a given target function by splitting the function according to the variable with the highest influence. The procedure is iteratively applied until a set of threshold functions is obtained, leading to reduced depth architectures, in which the obtained threshold functions form the nodes and a and or or function is the output of the architecture. The algorithm is tested on a large set of benchmark functions and the results compared to previous existing solutions, showing a considerable reduction on the number of gates and levels of the obtained architectures. An extension of the method for partially defined functions is also introduced and the generalization ability of the method is analyzed.
机译:介绍了一种用于获取由阈值门组成的高效体系结构的新算法,该算法实现了任意布尔函数。该方法通过根据影响力最大的变量拆分功能来降低给定目标功能的复杂性。迭代地应用该过程,直到获得一组阈值函数为止,从而导致深度降低的体系结构,其中所获得的阈值函数形成节点,而and和/或function是体系结构的输出。该算法在大量基准功能上进行了测试,其结果与以前的现有解决方案进行了比较,显示出门数量和所获得体系结构级别的显着降低。还介绍了该方法对部分定义函数的扩展,并分析了该方法的泛化能力。

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