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Effect of Quine-McCluskey simplification on Boolean space complexity

机译:Quine-McCluskey简化对布尔空间复杂性的影响

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The minimization of logic gates is needed to simplify the hardware design area of programmable logic arrays (PLAs) and to speed up the circuits. The VLSI designers can use minimization methods to produce high speed, inexpensive and energy-efficient integrated circuits with increased complexity. Quine-McCluskey (Q-M) is an attractive algorithm for simplifying Boolean expressions because it can handle any number of variables. This paper describes a new model for the estimation of circuit complexity, based on Quine-McCluskey simplification method. The proposed method utilizes data derived from Monte-Carlo simulations for any Boolean function with different count of variables and product term complexities. The model allows design feasibility and performance analysis prior to the circuit realization.
机译:需要最小化逻辑门来简化可编程逻辑阵列(PLA)的硬件设计区域并加速电路。 VLSI设计人员可以使用最小化方法来生产高速,廉价和节能集成电路,其复杂性增加。 Quine-McCluskey(Q-M)是一种有吸引力的算法,用于简化布尔表达式,因为它可以处理任意数量的变量。本文基于Quine-McCluskey简化方法描述了一种用于估计电路复杂性的新模型。所提出的方法利用来自Monte-Carlo模拟的数据,以了解具有不同变量数的布尔函数和产品术语复杂性的任何布尔函数。该模型允许在电路实现之前设计可行性和性能分析。

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