Abstract | ||
---|---|---|
This work proposes a new architecture of a CMOS analog multiplier based on transistors operating in nonsaturation region, from weak to strong inversion, featuring low sensitivity to voltage supply variations. In addition, the multiplier shows desirable characteristics for the compact implementation of Cellular Neural Networks, namely both voltage and current inputs, current output, and modularity. Simulation results have demonstrated low power consumption and low sensitivity to supply voltage. |
Year | DOI | Venue |
---|---|---|
2018 | 10.1109/LASCAS.2018.8399976 | 2018 IEEE 9th Latin American Symposium on Circuits & Systems (LASCAS) |
Keywords | Field | DocType |
CMOS Analog Multiplier,Synapse,CNN | Analog multiplier,Computer science,Voltage,Electronic engineering,CMOS,Multiplier (economics),Transistor,Ripple,Cellular neural network,Modularity | Conference |
ISSN | ISBN | Citations |
2330-9954 | 978-1-5386-2312-1 | 1 |
PageRank | References | Authors |
0.48 | 0 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Fernando Martins Cardoso | 1 | 1 | 0.48 |
Márcio Cherem Schneider | 2 | 1 | 0.82 |
edson pinto santana | 3 | 4 | 4.10 |