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» Discrete-Time Cellular Neural Networks in FPGA
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FCCM
2007
IEEE
168views VLSI» more  FCCM 2007»
13 years 5 months ago
Discrete-Time Cellular Neural Networks in FPGA
This paper describes a novel architecture for the hardware implementation of non-linear multi-layer cellular neural networks. This makes it feasible to design CNNs with millions o...
J. Javier Martínez-Álvarez, F. Javie...
ISNN
2004
Springer
13 years 10 months ago
Pattern Recognition Based on Stability of Discrete Time Cellular Neural Networks
Abstract. In this paper, some sufficient conditions are obtained to guarantee that discrete time cellular neural networks (DTCNNs) can have some stable memory patterns. These condi...
Zhigang Zeng, De-Shuang Huang, Zengfu Wang
ISCAS
1994
IEEE
104views Hardware» more  ISCAS 1994»
13 years 9 months ago
Stereo Correspondence with Discrete-Time Cellular Neural Networks
In this paper, we propose a new approach of solving the stereopsis problem with a discrete-time cellular neural network(DTCNN) where each node has connectionsonly with its local n...
Sungjun Park, Seung-Jai Min, Soo-Ik Chae
DSD
2004
IEEE
122views Hardware» more  DSD 2004»
13 years 8 months ago
On the Packet-Switched Implementation of a Discrete-Time CNN
Cellular Neural Networks are widely used with real-time image processing's applications. Such systems can be efficiently realized using macro enriched fieldprogrammable gate-...
Suleyman Malki, Lambert Spaanenburg
IWANN
2001
Springer
13 years 9 months ago
Image Quality Enhancement for Liquid Bridge Parameter Estimation with DTCNN
This work present the use of a neural structure to augment the quality of noisy images of liquid bridges to obtain a clear representation of its border in order to determine the ac...
Miguel A. Jaramillo Morán, J. Álvaro...