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A three-dimensional quantum cellular neural network is proposed by using the quantum cellular automata as neuron cells. The three-dimensional quantum cellular neural network consists of two layers of quantum cellular automata array and possesses the A cloning template, B cloning template, and threshold. The image processing functions such as hole filling and corner detecting were performed by using...
An implementation method of cellular neural networks (CNN) based on a novel complimentary metal-oxide-semiconductor (CMOS) and single electron transistor (SET) hybrid structure named SETMOS, is proposed in this paper. The main building blocks including cell core circuit, feedback template and control template circuits are designed by the characteristic of negative differential resistance (NDR) of...
This paper presents a hardware implementation of programmable of CNN based on SET. The main building blocks including cell core circuit, A and B template circuits are designed. Then a CNN and its application in image processing are built and studied. The computer simulation results show that the designed circuits are suitable for CNN implementation because of simple structure, low power dissipation,...
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