Implementation of the clock edge controllable dual edge-triggered D flip-flop using the cellular neural network

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.