Proceedings ArticleDOI
A CNN universal chip in CMOS technology
Rafael Domínguez-Castro,S. Espejo,Ángel Rodríguez-Vázquez,R. Carmona +3 more
- pp 91-96
TLDR
This paper describes the design of a CNN universal chip in a standard CMOS technology that consists of an array of 32/spl times/32 completely programmable CNN cells.Abstract:
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 cells. Input image can be loaded in optical or electrical form. Accuracy is in the range of 7-8 bit and cell density is of 33 cells/mm/sup 2/. >read more
Citations
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Journal ArticleDOI
Simulating nonlinear waves and partial differential equations via CNN. I. Basic techniques
TL;DR: The applicability of CNNs is shown by three examples of nonlinear PDE implementations: a reaction-diffusion type system, Burgers' equation, and a form of the Navier-Stokes equation in a two-dimensional setting.
Journal ArticleDOI
A VLSI-oriented continuous-time CNN model
TL;DR: An analysis of the stability and convergence properties of the full signal range (FSR) CNN model are demonstrated to be similar to those of the Chua-Yang model and the I/O mapping of known applications is shown to be unaffected by the modification introduced in this new model.
BookDOI
Focal-Plane Sensor-Processor Chips
TL;DR: This book provides an overview of focal plane chip technology, smart imagers and cellular wave computers, along with numerous examples of current vision chips, 3D sensor-processor arrays and their applications, and their near- and mid-term research trends.
Journal ArticleDOI
ACE4k: An analog I/O 64×64 visual microprocessor chip with 7‐bit analog accuracy
TL;DR: This paper aims to demonstrate the efforts towards in-situ applicability of EMMARM, which aims to provide real-time information about concrete mechanical properties such as E-modulus and compressive strength.
Journal ArticleDOI
Self-organization in a two-layer CNN
TL;DR: It is shown that a two-layer cellular neural network with constant templates is suitable for generating self-organizing patterns and, therefore, it is able to model complex phenomena.
References
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Journal ArticleDOI
Cellular neural networks: theory
Leon O. Chua,L. Yang +1 more
TL;DR: In this article, a class of information processing systems called cellular neural networks (CNNs) are proposed, which consist of a massive aggregate of regularly spaced circuit clones, called cells, which communicate with each other directly through their nearest neighbors.
Journal ArticleDOI
Matching properties of MOS transistors
TL;DR: In this paper, the matching properties of the threshold voltage, substrate factor, and current factor of MOS transistors have been analyzed and measured, and the matching results have been verified by measurements and calculations on several basic circuits.
Book
Introduction to artificial neural systems
TL;DR: Jacek M. Zurada is a Professor with the Electrical and Computer Engineering Department at the University of Louisville, Kentucky and has published over 350 journal and conference papers in the areas of neural networks, computational intelligence, data mining, image processing and VLSI circuits.
Journal ArticleDOI
Cellular neural networks: applications
Leon O. Chua,Lin-Bao Yang +1 more
TL;DR: Examples of cellular neural networks which can be designed to recognize the key features of Chinese characters are presented and their applications to such areas as image processing and pattern recognition are demonstrated.
Journal ArticleDOI
The CNN paradigm
Leon O. Chua,Tamás Roska +1 more
TL;DR: In this article, the cellular neural network (CNN) paradigm is given, along with a precise taxonomy and a concise tutorial description of the CNN paradigm, and the canonical equations are described.