A New Algorithm for the Elimination of Common Subexpressions in Hardware Implementation of Digital Filters by Using Genetic Programming
A New Algorithm for the Elimination of Common Subexpressions in Hardware Implementation of Digital Filters by Using Genetic Programming
复制标题
遗传编程数字滤波器硬件实现中公共子表达式消除的新算法
DOI：
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发表时间：
2000
期刊：
影响因子：
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通讯作者：
W. Miller
中科院分区：
文献类型：
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作者：
H. Safiri;M. Ahmadi;G. Jullien;W. Miller
提出了一种基于遗传规划(GP)的新算法，用于解决公共子表达式消除(CSE)优化多重常量乘法(MCM)问题。该方法用于DSP系统的硬件优化。本文展示了一种基于遗传编程的解决方案。该技术的性能在具有常数系数的一维和多维数字滤波器中得到了证明。
A new algorithm based on Genetic Programming (GP) for the problem of optimization of Multiple constant Multiplication (MCM) by Common Subexpression Elimination(CSE) is developed. This method is used for hardware optimization for DSP systems. A solution based on Genetic Programming is shown in this paper. The performance of the technique is demonstrated in one- and multi-dimensional digital filters with constant coefficients.