A CNN simulator and a Time-Multiplexing algorithm implementation based on a SIMULINK(R) model for CNN are presented in this paper. The CNN cell model was tested using several templates and the test results, using edge detection template 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 template and the results are attached
This paper presents a novel discrete-time and fully programmable cellular neural network (CNN) suita...
A cellular neural network (CNN) is a massively parallel analog array processor capable of solving va...
Abstract—In this paper, we investigate characteristics of out-put values by a proposed new system of...
A novel approach to simulate Cellular Neural Networks (CNN) is presented in this paper. The approach...
A novel approach to simulate Cellular Neural Networks (CNN) is presented in this paper. The approach...
An efficient behavioral simulator for Cellular Neural Networks (CNN) is presented in this paper. The...
The state of the art work in Cellular Neural Networks (CNN) has concentrated on VLSI implementations...
A practical system approach for time-multiplexing cellular neural network (CNN) implementations suit...
Due to the character of the original source materials and the nature of batch digitization, quality ...
The state of the art work in cellular neural networks (CNN) has concentrated on VLSI implementations...
A stored program 2/sup nd/ order/3-layer complex cell cellular neural network Universal Machine (CNN...
An efficient numerical integration algorithm for single layer Raster Cellular Neural Networks (CNN) ...
When low-level hardware simulations of cellular neural networks (CNNs) are very costly for exploring...
SummaryA cellular neural network (CNN) is a massively parallel analog array processor capable of sol...
ABSTRACT An efficient numerical integration algorithm for single layer Raster Cellular Neural Networ...
This paper presents a novel discrete-time and fully programmable cellular neural network (CNN) suita...
A cellular neural network (CNN) is a massively parallel analog array processor capable of solving va...
Abstract—In this paper, we investigate characteristics of out-put values by a proposed new system of...
A novel approach to simulate Cellular Neural Networks (CNN) is presented in this paper. The approach...
A novel approach to simulate Cellular Neural Networks (CNN) is presented in this paper. The approach...
An efficient behavioral simulator for Cellular Neural Networks (CNN) is presented in this paper. The...
The state of the art work in Cellular Neural Networks (CNN) has concentrated on VLSI implementations...
A practical system approach for time-multiplexing cellular neural network (CNN) implementations suit...
Due to the character of the original source materials and the nature of batch digitization, quality ...
The state of the art work in cellular neural networks (CNN) has concentrated on VLSI implementations...
A stored program 2/sup nd/ order/3-layer complex cell cellular neural network Universal Machine (CNN...
An efficient numerical integration algorithm for single layer Raster Cellular Neural Networks (CNN) ...
When low-level hardware simulations of cellular neural networks (CNNs) are very costly for exploring...
SummaryA cellular neural network (CNN) is a massively parallel analog array processor capable of sol...
ABSTRACT An efficient numerical integration algorithm for single layer Raster Cellular Neural Networ...
This paper presents a novel discrete-time and fully programmable cellular neural network (CNN) suita...
A cellular neural network (CNN) is a massively parallel analog array processor capable of solving va...
Abstract—In this paper, we investigate characteristics of out-put values by a proposed new system of...