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An optimal synthesis method for multiple constant multiplication circuits using genetic algorithm

机译:基于遗传算法的多常数乘法电路的最优综合方法

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Multiple constant multiplication circuits are often used in digital signal processing, such as filters and linear transforms and so on, and the synthesis method so as to minimize computational complexity is required from a viewpoint of hardware cost. The authors have already proposed the synthesis method of multiple constant multiplication circuits using genetic algorithm with chromosomes composed of stack type operators. However, there exist a problem that it is difficult to optimize the large size circuit. In this research, ordering the combination of two branches to be added, and a chromosome is composed of series of the order. Through some simulations we show that the proposed method obtain the better performance than the existing method.
机译:在数字信号处理中经常使用多个常数乘法电路,例如滤波器和线性变换等,并且从硬件成本的角度出发,需要一种合成方法以使计算复杂度最小。作者已经提出了使用遗传算法,由堆栈类型算子组成的染色体的多常数乘法电路的综合方法。但是,存在难以优化大型电路的问题。在这项研究中,有序地添加了两个分支的组合,而一个染色体则由该序列的序列组成。通过一些仿真,我们证明了该方法比现有方法具有更好的性能。

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