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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 ...
Artículo
A 0.8-μm CMOS two-dimensional programmable mixed-signal focal-plane array processor with on-chip binary imaging and instructions storage
(Institute of Electrical and Electronics Engineers, 1997)
This paper presents a CMOS chip for the parallel acquisition and concurrent analog processing of two-dimensional (2-D) binary images. Its processing function is determined by a reduced set of 19 analog coefficients whose ...
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, ...
Artículo
Analog Neural Programmable Optimizers in CMOS VLSI Technologies
(Institute of Electrical and Electronics Engineers, 1992)
A 3-μm CMOS IC is presented demonstrating the concept of an analog neural system for constrained optimization. A serial time-multiplexed general-purpose architecture is introduced for the real-time solution of this kind ...
Artículo
SIRENA: A CAD environment for behavioural modelling and simulation of VLSI cellular neural network chips
(Wiley-Blackwell, 1999)
This paper presents SIRENA, a CAD environment for the simulation and modelling of mixed-signal VLSI parallel processing chips based on cellular neural networks. SIRENA includes capabilities for: (a) the description of ...
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, ...