Time division digital programmable OTA for cellular neural networks

Autor: Fausto Sargeni, Vincenzo Bonaiuto, M. Bonifazi
Rok vydání: 2006
Předmět:
Zdroj: ECCTD
DOI: 10.1109/ecctd.2005.1522913
Popis: The design of a digital programmable transconductance amplifier (TD-DPTA) for cellular neural networks is 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 is composed of a single TD-DPTA only, which is able to feed the whole neighborhood 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.
Databáze: OpenAIRE