This paper presents an analysis of the stability and convergence properties of the full signal
range (FSR) CNN model. These properties are demonstrated to be similar to those of the …

A practical survey of the design rules of uncoupled and coupled linear CNN templates with
binary inputs and outputs is given. The usage and the properties of the different classes of …

This paper describes the design of a programmable cellular neural network (CNN) chip with
added functionalities similar to those of the CNN universal machine. The prototype contains …

This paper describes the design of a CNN universal chip in a standard CMOS technology.
The core of the chip consists of an array of 32/spl times/32 completely programmable CNN …

In this paper, architecture of a Real-Time Cellular Neural Network (CNN) Processor
(RTCNNP-v2) is given and the implementation results are discussed. The proposed …

In real‐life scenarios, the accuracy of person re‐identification (Re‐ID) is subject to the
limitation of camera hardware conditions and the change of image resolution caused by …

A new processor architecture implementing the Discrete Time Cellular Neural Networks (DT-
CNN) on FPGA is proposed. This architecture intends to process video images real time with …

This paper describes the general characteristics of a prototype implementation of a 64/spl
times/64 cells Cellular Neural Network (CNN) with enhanced functionalities in the direction …

In this paper an improvement over the control structure of the processor architecture
reported in is proposed. Each processor in the array was controlled by the central control …

This paper is the continuation of our previous work reported in [1], where the local control
structure of the Second? Generation Real? Time Cellular Neural Network Processor …