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

Volume

3

fYear

1992

fDate

10-13 May 1992

Firstpage

1537

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ISCAS.1992.230206

Filename

230206