DocumentCode :
974345
Title :
An analog implementation of discrete-time cellular neural networks
Author :
Harrer, Hubert ; Nossek, Josef A. ; Stelzl, Rudolf
Author_Institution :
Tech. Univ. of Munich, Germany
Volume :
3
Issue :
3
fYear :
1992
fDate :
5/1/1992 12:00:00 AM
Firstpage :
466
Lastpage :
476
Abstract :
An analog circuit structure for the realization of discrete-time cellular neural networks (DTCNNs) is introduced. The computation is done by a balanced clocked circuit based on the idea of conductance multipliers and operational transconductance amplifiers. The circuit is proposed for a one-neighborhood on a hexagonal grid, but can also be modified to larger neighborhoods and/or other grid topologies. A layout was designed for a standard CMOS process, and the corresponding HSPICE simulation results are given. A test chip containing 16 cells was fabricated, and measurements of the transfer characteristics are provided. The functional behavior is demonstrated for a simple example
Keywords :
CMOS integrated circuits; analogue circuits; digital simulation; neural nets; HSPICE simulation results; analog circuit structure; balanced clocked circuit; conductance multipliers; discrete-time cellular neural networks; grid topologies; hexagonal grid; layout; operational transconductance amplifiers; transfer characteristics; Analog circuits; CMOS process; Cellular neural networks; Circuit simulation; Circuit testing; Circuit topology; Clocks; Network topology; Operational amplifiers; Transconductance;
fLanguage :
English
Journal_Title :
Neural Networks, IEEE Transactions on
Publisher :
ieee
ISSN :
1045-9227
Type :
jour
DOI :
10.1109/72.129419
Filename :
129419
Link To Document :
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