Implementation of the Clock Edge Controllable Dual Edge-Triggered D Flip-Flop Using the Cellular Neural Network

doi:10.13190/j.jbupt.2013.05.023

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2013, Vol. 36 ›› Issue (5): 110-114.doi: 10.13190/j.jbupt.2013.05.023

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Implementation of the Clock Edge Controllable Dual Edge-Triggered D Flip-Flop Using the Cellular Neural Network

LIU Yan-yi^1,2, LIU Wen-bo¹, YUAN Xiao-zheng¹

1. Department of Automation, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China;
2. College of Information Science and Technology, Nanjing Forestry University, Nanjing 210037, China

Received:2012-05-13 Online:2013-10-31 Published:2013-08-09

Abstract

Abstract:

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.

Key words: cellular neural network, reconfigurable circuit, D flip-flop, dual edge-triggered D flip-flop

CLC Number:

TP183
TN431

LIU Yan-yi, LIU Wen-bo, YUAN Xiao-zheng. Implementation of the Clock Edge Controllable Dual Edge-Triggered D Flip-Flop Using the Cellular Neural Network[J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2013, 36(5): 110-114.

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Implementation of the Clock Edge Controllable Dual Edge-Triggered D Flip-Flop Using the Cellular Neural Network

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