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POWER OPTIMIZATION OF FINITE STATE MACHINE BASED ON GENETIC ALGORITHM 被引量:1
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作者 XiaYinshui A.E.A.Almaini WuXunwei 《Journal of Electronics(China)》 2003年第3期194-201,共8页
Using state assignment to minimize power dissipation and area for finite state ma-chines is computationally hard. Most of published results show that the reduction of switchingactivity often trades with area penalty. ... Using state assignment to minimize power dissipation and area for finite state ma-chines is computationally hard. Most of published results show that the reduction of switchingactivity often trades with area penalty. In this paper, a new approach is proposed. Experimentalresults show a significant reduction of switching activity without area penalty compared withprevious publications. 展开更多
关键词 Finite state machine state assignment Power dissipation Area Genetic algorithm OPTIMIZATION
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