Title :
Switched-current techniques for image processing cellular neural networks in MOS VLSI
Author :
Espejo, S. ; Rodríguez-Vázquez, A. ; Domínguez-Castro, R. ; Huertas, J.L.
Author_Institution :
Centro Nacional de Microelectron., Sevilla, Spain
Abstract :
An architecture and related building blocks are presented for the realization of image processing tasks using current-mode analog-digital circuits. The architecture is based on the cellular neural network paradigm while implementation is made using switched-current circuit techniques. Since just MOS transistors are required as circuit primitives, the proposed circuits are well suited for standard digital CMOS technologies. Also, the sampled-data nature of switched-current techniques allows for easy incorporation of programmability and reconfigurability issues. Empirical results are given for 1.5-μm N-well double-metal CMOS prototypes
Keywords :
CMOS integrated circuits; VLSI; image processing; mixed analogue-digital integrated circuits; neural chips; 1.5 micron; MOS VLSI; N-well double-metal CMOS; cellular neural networks; circuit primitives; current-mode analog-digital circuits; image processing; programmability; reconfigurability; sampled-data nature; standard digital CMOS technologies; switched-current circuit techniques; CMOS technology; Cellular neural networks; Dynamic range; Image processing; Intelligent networks; MOSFETs; Signal processing; Switching circuits; Very large scale integration; Voltage;
Conference_Titel :
Circuits and Systems, 1992. ISCAS '92. Proceedings., 1992 IEEE International Symposium on
Conference_Location :
San Diego, CA
Print_ISBN :
0-7803-0593-0
DOI :
10.1109/ISCAS.1992.230206
