Add to ORKGThis paper presents a cellular neural network software simulator, called SIMUL CN2, for image-processing applications. The software is designed to handle with both black-and-white and 256 gray levels images. All template matrices used, are supposed space-invariant with dimension 3×3 or 5×5. The software simulator acts as a development system and an evaluation tool for VLSI chips, currently under study. An automatic optimization tool together with some experimental applications are reported as well
An integrated system for image processing is proposed. The main elements of the system consist of a ...
Cellular Neural Networks (CNN's) represent a remarkable improvement in hardware implementation of Ar...
ABSTRACT An efficient numerical integration algorithm for single layer Raster Cellular Neural Networ...
When low-level hardware simulations of cellular neural networks (CNNs) are very costly for exploring...
The paper presents a software prototype capable of performing image processing applications using ce...
Cellular Neural Networks (CNNs) are massively parallel nonlinear locally connected analog cells; the...
An efficient behavioral simulator for Cellular Neural Networks (CNN) is presented in this paper. The...
A b s m r T%is paper presents a software prototype capable of petforming image processing applicatio...
Abstract – A software tool for the development, prototyping and emulation of cellular processor arra...
The inherent massive parallelism of cellular neural networks makes them an ideal computational platf...
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...
Cellular Network Simulator (CNS) is a stand-alone application, intended to study the behavior and co...
In this paper we introduce a new release of the CELL cellular neural network simulator. It has been ...
Abstract In this research, we propose cellular neural networks using mixture template as an example ...
An integrated system for image processing is proposed. The main elements of the system consist of a ...
Cellular Neural Networks (CNN's) represent a remarkable improvement in hardware implementation of Ar...
ABSTRACT An efficient numerical integration algorithm for single layer Raster Cellular Neural Networ...
When low-level hardware simulations of cellular neural networks (CNNs) are very costly for exploring...
The paper presents a software prototype capable of performing image processing applications using ce...
Cellular Neural Networks (CNNs) are massively parallel nonlinear locally connected analog cells; the...
An efficient behavioral simulator for Cellular Neural Networks (CNN) is presented in this paper. The...
A b s m r T%is paper presents a software prototype capable of petforming image processing applicatio...
Abstract – A software tool for the development, prototyping and emulation of cellular processor arra...
The inherent massive parallelism of cellular neural networks makes them an ideal computational platf...
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...
Cellular Network Simulator (CNS) is a stand-alone application, intended to study the behavior and co...
In this paper we introduce a new release of the CELL cellular neural network simulator. It has been ...
Abstract In this research, we propose cellular neural networks using mixture template as an example ...
An integrated system for image processing is proposed. The main elements of the system consist of a ...
Cellular Neural Networks (CNN's) represent a remarkable improvement in hardware implementation of Ar...
ABSTRACT An efficient numerical integration algorithm for single layer Raster Cellular Neural Networ...