The design of a new Digital Programmable Transconductance Amplifier (TD-DPTA) for Cellular Neural Networks will be shown in the paper. The proposed approach is based on a time division strategy with the main goal of a reduction of the area by the minimization of the number of the analogue multipliers inside each cell. So, the new CNN cell will be composed of a single TD-DPTA only, which will be able to feed the whole neighbourhood by the proper weighted current contribution by using a time division approach. The paper presents the design of a new DPTA architecture as well as a multiplexer circuit tailored for this particular application.
Sargeni, F., Bonaiuto, V., Bonifazi, M. (2005). Time division digital programmable OTA for cellular neural networks. In Proceedings of the 2005 European conference on circuit theory and design (pp.75-78). New York : IEEE [10.1109/ECCTD.2005.1522913].
Time division digital programmable OTA for cellular neural networks
SARGENI, FAUSTO;BONAIUTO, VINCENZO;
2005-01-01
Abstract
The design of a new Digital Programmable Transconductance Amplifier (TD-DPTA) for Cellular Neural Networks will be shown in the paper. The proposed approach is based on a time division strategy with the main goal of a reduction of the area by the minimization of the number of the analogue multipliers inside each cell. So, the new CNN cell will be composed of a single TD-DPTA only, which will be able to feed the whole neighbourhood by the proper weighted current contribution by using a time division approach. The paper presents the design of a new DPTA architecture as well as a multiplexer circuit tailored for this particular application.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
