摘要
提出一种由细胞神经网络(CNN)实现的时钟边沿可控的双边沿D触发器.结合非耦合CNN与线性可分布尔函数之间的关联性,提出了非耦合CNN实现逻辑电路的基本方法.通过分析D触发器工作原理,设计出基于非耦合CNN的D触发器电路结构.相比较传统的D触发器,新设计的D触发器具有动态可重构性,即保持电路结构和内部连线不变,仅改变基因参数,可分别实现上升沿触发、下降沿触发以及双边沿触发.本研究为进一步设计动态可重构逻辑电路提供了一种新的方法.
A clock edge controllable dual edge-triggered D flip-flop is presented using the cellular neural network （CNN）. Based on analysis of the relevance of uncoupled CNN and linear separable boolean func- tion, a fundamental approach to implement logical circuit with uncoupled CNN is described. Implementa- tion of the new D flip-flop circuit also is discussed. Different from traditional D flip-flop, this new method is a reconfigurable component, which can implement the up edge-triggered D flip-flop; the down edge- triggered and the dual edge-triggered respectively only by changing the gene parameters of CNN. Thus, a new method to design the reconfigurable logical circuit is created.
出处
《北京邮电大学学报》
EI
CAS
CSCD
北大核心
2013年第5期110-114,共5页
Journal of Beijing University of Posts and Telecommunications
基金
国家自然科学基金项目(61071163)
关键词
细胞神经网络
可重构逻辑电路
D触发器
双边沿D触发器
cellular neural network
reconfigurable circuit
D flip-flop
dual edge-triggered D flip-flop
