%0 Journal Article %A LIU Wen-bo %A LIU Yan-yi %A YUAN Xiao-zheng %T Implementation of the Clock Edge Controllable Dual Edge-Triggered D Flip-Flop Using the Cellular Neural Network %D 2013 %R 10.13190/j.jbupt.2013.05.023 %J Journal of Beijing University of Posts and Telecommunications %P 110-114 %V 36 %N 5 %X
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 function, a fundamental approach to implement logical circuit with uncoupled CNN is described. Implementation 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.
%U https://journal.bupt.edu.cn/EN/10.13190/j.jbupt.2013.05.023