Title :
Time-multiplexing CNN simulator
Author :
Lee, Chi Chien ; De Gyvez, José Pineda
Author_Institution :
Dept. of Electr. Eng., Texas A&M Univ., College Station, TX, USA
fDate :
30 May-2 Jun 1994
Abstract :
A novel approach to simulate Cellular Neural Networks (CNN) is presented in this paper. The approach, time-multiplexing simulation, is prompted by the need to simulate hardware models and test hardware implementations of CNN. For practical size applications, due to hardware limitations, it is impossible to have a one-on-one mapping between the CNN hardware processors and all the pixels of the image. This simulator provides a solution by processing the input image block by block, with the number of pixels in a block being the same as the number of CNN processors in the hardware. The algorithm for implementing this simulator is also presented, along with some simulation results and comparisons
Keywords :
cellular neural nets; simulation; time division multiplexing; CNN hardware processors; algorithm; block processing; cellular neural networks; image pixels; time-multiplexing simulation; Capacitors; Cellular neural networks; Circuit simulation; Differential equations; Hardware; Image processing; Nonlinear circuits; Output feedback; Pixel; Testing;
Conference_Titel :
Circuits and Systems, 1994. ISCAS '94., 1994 IEEE International Symposium on
Conference_Location :
London
Print_ISBN :
0-7803-1915-X
DOI :
10.1109/ISCAS.1994.409612