Title :
Structure reconfigurability of the CNNUC3 for robust template operation
Author :
Földesy, E. ; Linán, G. ; Rodriguez-Vázquez, A. ; Espejo, S. ; Domínguez-Castro, R.
Author_Institution :
Inst. de Microelectron., CSIC, Sevilla, Spain
Abstract :
We demonstrate the importance of the reconfigurability of a 64×64 cells size CNN-UM chip. As we show, in such a high complexity mixed-signal VLSI circuit the switch and internal reference level reconfigurability and reprogrammability play a crucial role for the robust operation of the system. The methodology for exploring the possibilities is three-fold, we consider theoretical results, error compensation methods, and the usage of special features of the design
Keywords :
VLSI; cellular neural nets; image processing; mixed analogue-digital integrated circuits; neural chips; CNN-UM chip; CNNUC3; error compensation methods; high complexity mixed-signal VLSI circuit; reprogrammability; robust operation; robust template operation; structure reconfigurability; Cellular neural networks; Circuits; Concurrent computing; Equations; Gray-scale; Image processing; Pixel; Prototypes; Robustness; Switches;
Conference_Titel :
Cellular Neural Networks and Their Applications, 2000. (CNNA 2000). Proceedings of the 2000 6th IEEE International Workshop on
Conference_Location :
Catania
Print_ISBN :
0-7803-6344-2
DOI :
10.1109/CNNA.2000.876860
