Buscar
Mostrando ítems 1-10 de 21
Ponencia
Convergence and stability of the FSR CNN model
(Institute of Electrical and Electronics Engineers, 1994)
Stability and convergency results are reported for a modified continuous-time CNN model. The signal range of the state variables is equal to the unitary interval, independently of the application. Stability and convergency ...
Ponencia
Hybrid-control of synapse circuits for programmable cellular neural networks
(Institute of Electrical and Electronics Engineers, 1996)
This paper describes a hybrid weight-control strategy for VLSI realizations of programmable Cellular Neural Networks (CNNs), based on auto-tuning of analog control signals to digitally specified values. The approach merges ...
Ponencia
Analog neural networks for real-time constrained optimization
(Institute of Electrical and Electronics Engineers, 1990)
Architectures and circuit techniques for implementing general piecewise constrained optimization problems using VLSI techniques are explored. Discrete-time analog techniques are considered due to their inherent accuracy, ...
Ponencia
Architectures and building blocks for CMOS VLSI analog "neural" programmable optimizers
(Institute of Electrical and Electronics Engineers, 1992)
A modular reconfigurable serial architecture is presented for the analog/digital implementation of constrained optimization algorithms with digital programmability of the problem weights. Area overhead due to programmability ...
Ponencia
A countinuous-time cellular neural network chip for direction-selectable connected component detection with optical image acquisition
(Institute of Electrical and Electronics Engineers, 1994)
This paper presents a continuous-time Cellular Neural Network (CNN) chip [1] for the application of Connected Component Detection (CCDet) [2]. Projection direction can be selected among four different possibilities. Every ...
Ponencia
Mixed-signal CNN array chips for image processing
(The International Society for Optical Engineering, 1996)
Due to their local connectivity and wide functional capabilities, cellular nonlinear networks (CNN) are excellent candidates for the implementation of image processing algorithms using VLSI analog parallel arrays. However, ...
Ponencia
Design of a programmable mixed-signal CMOS image-processing chip in 0.8 /spl mu/m CMOS
(Institute of Electrical and Electronics Engineers, 1997)
An operational vision-chip prototype with a wide-range of potential applications in artificial-vision systems is presented. Its functionality includes concurrent image-transduction, programmable image-processing, image-storage, ...
Ponencia
Accurate design of analog CNN in CMOS digital technologies
(Institute of Electrical and Electronics Engineers, 1990)
Explores the design of cellular neural networks (CNN) by using sampled-data analog current-mode techniques which neither requires capacitors nor resistors but just MOS transistors. The feature makes the proposed technique ...
Ponencia
SIRENA: A simulation environment for CNNs
(Institute of Electrical and Electronics Engineers, 1994)
SIRENA is a general simulation environment for artificial neural networks, with emphasis towards CNNs. A special interest has been placed in allowing the simulation and modelling of the non-ideal effects expected from VLSI ...
Ponencia
CNN universal chip in CMOS technology
(Institute of Electrical and Electronics Engineers, 1994)
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 32×32 completely programmable CNN cells. Input image can be loaded in optical or electrical ...