Title :
A time-multiplexing simulator for cellular neural network
Author :
El-Shafei, A.A.H. ; Sobhy, M.I.
Author_Institution :
Electron. Eng. Labs., Kent Univ., Canterbury, UK
Abstract :
A cellular neural network (CNN) simulator and a time-multiplexing algorithm implementation are described. The model for the CNN cell is simulated by SIMULINKR but the multiplexing algorithm could be used with any other implementation. The CNN model was tested using several templates, and the test results using connected components detection (CCD) templates are given. This simulator provides a simple and user friendly environment for studying and analyzing CNN dynamics. The time-multiplexing algorithm is tested using the edge detection and CCD templates and the results are attached
Keywords :
cellular neural nets; digital simulation; dynamics; edge detection; time division multiplexing; SIMULINK; cellular neural network; connected components detection templates; dynamics; edge detection; model; time-multiplexing simulator; Analytical models; Buildings; Cellular neural networks; Charge coupled devices; Circuit simulation; Differential equations; Laboratories; Neural networks; Nonlinear equations; Testing;
Conference_Titel :
Cellular Neural Networks and Their Applications Proceedings, 1998 Fifth IEEE International Workshop on
Conference_Location :
London
Print_ISBN :
0-7803-4867-2
DOI :
10.1109/CNNA.1998.685370
