Selected Scientific Publications (Cellular Visual
Microprocessor Technology)
L. O. Chua, “CNN: a Vision of Complexity ”, Int. J. of
Bifurcation & Chaos, Vol. 7, No. 10, pp. 2219-2425, 1997.
T. Roska and L. O. Chua, "The CNN Universal Machine", IEEE
Trans. on Circ. & Syst., Vol. 40, pp. 163-173, 1993.
F. S. Werblin, T. Roska, and L. O. Chua, "The Analogic CNN
Universal Machine as a Bionic Eye", International Journal of
Circuit Theory and Applications, Vol. 23, pp. 541-569, 1995.
A. R. Vázquez, G. Linan-Cembrano, L. Carranza, E. Roca-Moreno,
R. Carmona-Galan, F. Jimenez-Garrido, R. Dominguez-Castro, and S.
Espejo-Meana, “The 3rd Generation of Mixed-signal SIMD-CNN ACE
Chips Toward VSoCs”, IEEE Transaction on Circuits and Sytems, Vol.
51, No 5, May 2004.
S. Espejo, R. Carmona, R. Domingúez-Castro, and A.
Rodrigúez-Vázquez, "CNN Universal Chip in CMOS Technology",
International Journal of Circuit Theory and Applications, Vol. 24,
pp. 93-111, 1996.
S. Espejo, R. Domínguez-Castro, G. Liñán, Á. Rodríguez-Vázquez, “
A 64x64 CNN Universal Chip with Analog and Digital I/O”, in Proc.
ICECS’98, pp. 203-206, Lisbon 1998.
G. Liñán, R. Domínguez-Castro, S. Espejo, A. Rodríguez-Vázquez, “
ACE16k: A Programmable Focal Plane Vision Processor with 128 x 128
Resolution”, ECCTD ’01 -European Conference on Circuit Theory and
Design, pp. 345-348, August 28-31, Espoo, Finland, 2001.
K. R. Crounse and L. O. Chua, "Methods for Image Processing in
Cellular Neural Networks: A Tutorial", IEEE Trans. on Circuits and
Systems, Vol. 42, No. 10, pp. 583-601, October 1995.
B. E. Shi, T. Roska and L.O. Chua, "Estimating Optical Flow With
Cellular Neural Networks," Int. J. Circuit Theory and Its
Application, vol. 26, pp. 343-364, 1998.
Á. Zarándy, R. Domínguez-Castro, and S. Espejo, "Ultra-high
Frame Rate Focal Plane Image Sensor and Processor", IEEE Sensor
Journal, Vol. 2, No. 6 pp.:559-565, December 2002
G. Tímár, and Cs. Rekeczky, “A Real-time Multi-target Tracking System with
Parallel Multi-channel CNN Algorithms ”, submitted to IEEE
Trans. on Circuits and Systems, accepted in 2004 (in press).
D. L. Vilariño, and Cs. Rekeczky, “Pixel Level Snakes on the CNN-UM: Algorithm Design,
On-chip Implementation and Applications ”, submitted to
International Journal on Circuit Theory and Applications, accepted
in 2004 (in press).
Cs. Rekeczky, ”CNN Architectures for Constrained Diffusion Based Locally
Adaptive Image Processing”, International Journal of Circuit
Theory and Applications, Vol. 30, pp. 313-348, March-June 2002.
Cs. Rekeczky and L. O. Chua, "Computing with Front Propagation: Active Contour and
Skeleton Models in Continuous-time CNN ", Journal of VLSI
Signal Processing Systems, Vol. 23, No. 2/3, pp. 373-402,
November-December 1999.
Cs. Rekeczky, I. Szatmári, D. Bálya, G. Tímár, and Á. Zarándy, “
Cellular Multi-Adaptive Analogic Architecture: A
Computational Framework for UAV Applications ”, IEEE Trans. on
Circuits and Systems, Vol. 51, No 5, pp. 864-884, 2004.
Cs. Rekeczky, Á. Tahy, Z. Végh, and T. Roska, "CNN-based Spatio-temporal Nonlinear Filtering and
Endocardial Boundary Detection in Echocardiography ",
International Journal of Circuit Theory and Applications, Vol. 27,
pp. 171-207, January-February 1999.
Cs. Rekeczky, T. Roska, and A. Ushida, "CNN-based Difference-controlled Adaptive Nonlinear Image
Filters ", International Journal of Circuit Theory and
Applications, Vol. 26, pp. 375-423, July-August, 1998.
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