TY - GEN
T1 - Adaptive filters realized with nano-scale VLSI circuit technology
AU - Radhakrishnan, C.
AU - Jenkins, William Kenneth
AU - Krusienski, D. J.
PY - 2007/12/1
Y1 - 2007/12/1
N2 - This paper investigates design strategies for achieving reliable performance in VLSI adaptive filters that are prone to transient errors due to increasingly smaller feature dimensions and supply voltages of the CMOS circuits. First it will be shown that stochastic search algorithms (e.g. Particle Swarm Optimization) have a natural resistance to transient errors. It is then shown how modular hardware based on residue number system (RNS) coding can be designed to more effectively manage transient errors in adaptive filters with stochastic search algorithms.
AB - This paper investigates design strategies for achieving reliable performance in VLSI adaptive filters that are prone to transient errors due to increasingly smaller feature dimensions and supply voltages of the CMOS circuits. First it will be shown that stochastic search algorithms (e.g. Particle Swarm Optimization) have a natural resistance to transient errors. It is then shown how modular hardware based on residue number system (RNS) coding can be designed to more effectively manage transient errors in adaptive filters with stochastic search algorithms.
UR - http://www.scopus.com/inward/record.url?scp=51449086667&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=51449086667&partnerID=8YFLogxK
U2 - 10.1109/MWSCAS.2007.4488617
DO - 10.1109/MWSCAS.2007.4488617
M3 - Conference contribution
AN - SCOPUS:51449086667
SN - 1424411769
SN - 9781424411764
T3 - Midwest Symposium on Circuits and Systems
SP - 413
EP - 416
BT - 2007 50th Midwest Symposium on Circuits and Systems, MWSCAS - Conference Proceedings
T2 - 2007 50th Midwest Symposium on Circuits and Systems, MWSCAS - Conference
Y2 - 5 August 2007 through 8 August 2007
ER -