Title :
Pulse coded cellular neural network and it´s hardware implementation
Author :
Pham, Gong-Kha ; Kimura, Tetsuya ; Ikegarni, M. ; Tanaka, Mamoru
Author_Institution :
Dept. of Electr. & Electron. Eng., Sophia Univ., Tokyo, Japan
Abstract :
This paper describes a pulse coded cellular neural network employing a pulse-stream arithmetic. A behavior of the network has been demonstrated employing a simulation program for a halftoning of a grey-level image as an example. Also, a hardware implementation for the network is proposed. As a result, the proposed pulse coded cellular neural networks has the same operation which can be observed from an analog cellular neural networks
Keywords :
cellular neural nets; image processing; analog cellular neural networks; grey-level image halftoning; pulse-coded cellular neural network; pulse-stream arithmetic; simulation program; Biological neural networks; Cellular neural networks; Digital arithmetic; Electronic mail; Fires; Nervous system; Neural network hardware; Neurons; Piecewise linear techniques; Very large scale integration;
Conference_Titel :
Neural Networks, 1995. Proceedings., IEEE International Conference on
Conference_Location :
Perth, WA
Print_ISBN :
0-7803-2768-3
DOI :
10.1109/ICNN.1995.488855
