Cellular neural networks are widely used with real-time image processing's applications. Such systems can be efficiently realized using macro enriched field-programmable gate-arrays. This paper explores the benefits of packet switching and discusses its advantages over a current design based on circuit switching. The implementation is performed using Xilinx Virtex-II Pro P30 and handles around 500 Mpixels per second using 128 parallel processing node
The state of the art work in cellular neural networks (CNN) has concentrated on VLSI implementations...
Real-time image processing represents an application field where cellular neural networks best show ...
This paper deals with hardware implementation of Digital CNN network in FPGA. We have implemented us...
The paper investigates the potential for a packet switching network for real-time image processing b...
Image processing is one of the popular applications of Cellular Neural Networks. Macro enriched fiel...
Cellular Neural Networks are characterized by simplicity of operation. The network consists of a lar...
Cellular Neural Networks (CNNs) are widely used for real-time image processing applications. Though ...
Image processing is one of the popular applications of Cellular Neural Networks. Macro enriched fiel...
Integrated Processors (IP) are meant to supply algorithm-specific cores to a micro-electronic system...
The state of the art work in Cellular Neural Networks (CNN) has concentrated on VLSI implementations...
We propose an implementation in terms of a cellular neural network (CNN) of the packet selection dis...
The VLSI implementation of Cellular Neural Networks is a relevant task which is very important for t...
The successful development of cellular neural networks is dependent on hardware implementation. This...
The state of the art work in cellular neural networks (CNN) has concentrated on VLSI implementations...
Real-time image processing represents an application field where cellular neural networks best show ...
This paper deals with hardware implementation of Digital CNN network in FPGA. We have implemented us...
The paper investigates the potential for a packet switching network for real-time image processing b...
Image processing is one of the popular applications of Cellular Neural Networks. Macro enriched fiel...
Cellular Neural Networks are characterized by simplicity of operation. The network consists of a lar...
Cellular Neural Networks (CNNs) are widely used for real-time image processing applications. Though ...
Image processing is one of the popular applications of Cellular Neural Networks. Macro enriched fiel...
Integrated Processors (IP) are meant to supply algorithm-specific cores to a micro-electronic system...
The state of the art work in Cellular Neural Networks (CNN) has concentrated on VLSI implementations...
We propose an implementation in terms of a cellular neural network (CNN) of the packet selection dis...
The VLSI implementation of Cellular Neural Networks is a relevant task which is very important for t...
The successful development of cellular neural networks is dependent on hardware implementation. This...
The state of the art work in cellular neural networks (CNN) has concentrated on VLSI implementations...
Real-time image processing represents an application field where cellular neural networks best show ...
This paper deals with hardware implementation of Digital CNN network in FPGA. We have implemented us...