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A 16 x 16 cells Cellular Neural Network Chip for Connected
Component Detection.
Team: Servando Espejo,
Rafael Domínguez-Castro and Ángel Rodríguez-Vázquez
Date: 1993
| Physical Data |
- Technology: 1.6µ m CMOS n-well,
single-poly, double metal
- Cell density: 120 cells/mm2
- 42 transistors/cell
- Cell dimensions: 92.8µ m
X
86.4µ m
- Die size: 2260.8µ m
X
2260.8µ m
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Electrical Data |
- 2.7 to 5.0 V Supply
- Voltage mode I/O
- 100µ W/cell @ 5V
- Total dissipation: 40mW @ 5V
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Design Technique |
- Analog Current-Mode Continuous Time
- Conventional CMOS logic
- Full-custom
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Features and Applications |
- 16 x 16 CNN cells for CCD
- Electrical, binary input and output
- Boundary cells set to -1 (white)
- Independent 16-lines-wide input and output
buses
- Processing time: 4µ s / image
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This 16X16 cells prototype was
designed as a continuation of a previous version of 1X16
cells (See "A twin-model 1 x
16 cells Cellular Neural Network Chip for Connected Component Detection").
The cell circuitry is basically identical, the only additions being those
required for the multiplexed I/O schemes needed for a two-dimensional
distribution of cells. Specific input and output stages are included to
interface the analog current-mode circuitry with an external voltage-mode
world.
The design was intended as a feasibility
demonstrator of specific current-mode circuit techniques [Rodr93a],
[Rodr93b], [Espe94],
for the realization of fixed-weight Cellular Neural Networks realization
based on the so called full signal range (FSR) CNN model [Espe96].
The results confirmed the possibility of realizing large, compact arrays
of this type of cells for real-time image processing applications.
References:
- [Rodr93a] A. Rodríguez-Vázquez,
S. Espejo, R. Domínguez-Castro, J.L. Huertas, and E. Sánchez-Sinencio:
"Current-Mode Techniques for the Implementation of Continuous-
and Discrete-Time Cellular Neural Networks" IEEE Transactions on
Circuits and Systems II: Analog and Digital Signal Processing.Vol 40,
No. 3, pp 132-146, March 1993.
- [Rodr93b] A. Rodríguez-Vázquez,
S. Espejo, J.L. Huertas, and R. Domínguez-Castro: "Switched-Current
Cellular Neural Networks for Image Processing", Chapter 17, pp.
459-486 in C. Toumazou, J.B. Hughes and N.C. Battersby (Editors): "SWITCHED-CURRENTS
an analogue technique for digital technology", IEE Circuits and
Systems Series 5, Peter Peregrinus Ltd. 1993. ISBN: 0 86341 294 7.
- [Espe94] S. Espejo, A. Rodríguez-Vázquez,
R. Domínguez-Castro, J.L. Huertas, and E. Sánchez-Sinencio:
"Smart-Pixel Cellular Neural Networks in Analog Current-Mode CMOS
Technology" IEEE Journal of Solid-State Circuits.Vol 29, No. 8,
pp 895-905, August 1994.
- [Espe96] S. Espejo, R. Carmona, R. Domínguez-Castro
and A. Rodríguez-Vázquez: "A VLSI-Oriented Continuous-Time
CNN Model". International Journal of Circuit Theory and Applications.
Vol 24, No. 3, pp 341-356, May-June 1996.
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