The members of the SCS lab are currently involved in two major research
a) Signal processing using nonlinear circuits and systems - cellular
neural networks (CNN), chaotic circuits and systems and hysteretic circuits
- in cooperation with the Microtechnology Institute of Neuchatel, Switzerland
(prof. Michael Ansorge), and the Institute of Computer Science and Automation
from the Hungarian Academy of Sciences Budapest, Hungary (prof. Tamas
We conduct studies concerning the possibilities of signal processing and
classification using CNN's, pattern formation in first and second order
CNN's, Turing patterns, using hysterons in signal processing (including
structures of CNN's with hysteretic cells), hysteresis in chaotic signal
generation and chaos sinchronisation.
Other research directions are related to analog and discrete recurrent
neural networks (other than CNN's). Implementation of the "computing
with attractors" paradigm was considered in the framework of associative
memory design. Applications include time series analysis, particularly
short-time prediction, and complex classification tasks.
b) High-frequency controlled analog filter design, in cooperation
with Electronics Department of University of Southern California, USA
(prof. John Choma), University of New-York at Stony Brook (prof. Adrian
Leuciuc), and Chip-Express Co., USA.
We focus on high frequency active filter structures, stability, frequency
response, distortion evaluation and VLSI implementation.
Since 2000 our group is recognized as a Research Centre of Excellence,
ranked 6th among all research institutions in Romania, and 2nd among those
in Electrical and Electronics Engineering.