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A twin-model 1 x 16 cells Cellular Neural Network Chip for Connected Component Detection

Team: Servando Espejo, Rafael Domínguez-Castro and Ángel Rodríguez-Vázquez.

Date: 1992

 

Physical Data
  • Technology: 1.6µ m CMOS n-well, single-poly, double metal
  • Cell density: 61 cells/mm2 for P1
  • Cell density: 120 cells/mm2 for P2
  • 74 transistors/cell for P1
  • 42 transistors/cell for P2
Electrical Data
  • 2.7 to 5.0 V Supply
  • 300µ W/cell @ 5V for P1
  • 100µ W/cell @ 5V for P2
  • Voltage mode I/O
Design Technique
  • Analog Current-Mode Continuous Time
  • Full-custom
Features and Applications
  • Selectable Boundary Conditions (+-1)

 

This was the first of a series of specific-application (fixed weight) Cellular Neural Network prototypes, in particular for the application of Connected Component Detection (Fig 2), based on current-mode techniques [Rodr93a], [Rodr93b], [Espe94a]. Actually, the chip includes two different prototypes, both of 1 X 16 cells, named P1 (Fig 3) and P2 (Fig 4). P1 implements the original Chua & Yang CNN model, while P2 realizes a modification of the former model called FSR CNN model [Espe94b], which results in some implementation advantages.

 

References:

  1. [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.
  2. [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.
  3. [Espe94a] 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.
  4. [Espe94b] 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.

Images List:

 

 

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