Title :
VLSI circuits for multiplexed Star CNNs
Author :
Sargeni, F. ; Bonaiuto, V.
Author_Institution :
Dept. of Electron. Eng., Univ. of Rome Tor Vergata, Rome, Italy
Abstract :
The design of circuits to implement complex systems as Star Cellular Neural Networks requires custom VLSI design with high features and performances. The paper deals with the VLSI design of circuits in current mode properly developed to multiplexed implementation of a Star CNNs.
Keywords :
VLSI; cellular neural nets; current-mode circuits; VLSI circuits; current-mode circuits; multiplexed star cellular neural networks; Cellular neural networks; Circuits; Design engineering; Feeds; Mirrors; Nonlinear dynamical systems; Silicon; Time division multiple access; Transconductance; Very large scale integration;
Conference_Titel :
Cellular Nanoscale Networks and Their Applications (CNNA), 2010 12th International Workshop on
Conference_Location :
Berkeley, CA
Print_ISBN :
978-1-4244-6679-5
DOI :
10.1109/CNNA.2010.5430272
