Title :
CNNUC3: a mixed-signal 64×64 CNN universal chip
Author :
Liñán, Gustavo ; Espejo, Servando ; Dominguez-Castro, R. ; Roca, Elisenda ; Rodríguez-Vázquez, Ángel
Author_Institution :
Inst. de Microelectron., CSIC, Sevilla, Spain
Abstract :
This paper describes the general characteristics of a prototype implementation of a 64×64 cells Cellular Neural Network (CNN) with enhanced functionalities in the direction of the CNN Universal Chip concept. The mixed-signal prototype has been designed and manufactured in a CMOS 0.5 μm technology. It is conceived to be the core component of a new class of video-processing systems for advanced multimedia applications
Keywords :
CMOS integrated circuits; cellular neural nets; mixed analogue-digital integrated circuits; multimedia systems; neural chips; video signal processing; 0.5 micron; CMOS technology; CNNUC3; cellular neural network; mixed-signal CNN universal chip; multimedia applications; prototype implementation; video-processing systems; Boundary conditions; CMOS technology; Cellular neural networks; Circuits; Digital control; Image storage; Neural network hardware; Prototypes; Random access memory; Read-write memory;
Conference_Titel :
Microelectronics for Neural, Fuzzy and Bio-Inspired Systems, 1999. MicroNeuro '99. Proceedings of the Seventh International Conference on
Conference_Location :
Granada
Print_ISBN :
0-7695-0043-9
DOI :
10.1109/MN.1999.758847
