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2nd New Zealand Two-Stream International Conference on Artificial Neural Networks and Expert Systems (ANNES '95)
An area efficient implementation of a cellular neural network
Dunedin, New Zealand
November 20-November 23
ISBN: 0-8186-7174-2
K.K. Lai, Dept. of Electr. Eng., Sydney Univ., NSW, Australia
P.H.W. Leong, Dept. of Electr. Eng., Sydney Univ., NSW, Australia
A time multiplexing scheme for implementing cellular neural networks (CNN) is described. This scheme makes it possible to realise much higher density implementations of CNNs in VLSI circuits. A circuit implementation of this technique is presented along with simulation results.
Index Terms:
cellular neural nets; neural chips; VLSI; cellular logic; circuit analysis computing; edge detection; cellular neural network; area efficient implementation; time multiplexing scheme; higher density implementations; VLSI circuits; simulation; neural circuits; edge detection
Citation:
K.K. Lai, P.H.W. Leong, "An area efficient implementation of a cellular neural network," annes, pp.51, 2nd New Zealand Two-Stream International Conference on Artificial Neural Networks and Expert Systems (ANNES '95), 1995
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