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FPL
2007
Springer
106views Hardware» more  FPL 2007»
14 years 4 months ago
Monte Carlo Logarithmic Number System for Model Predictive Control
Simple algorithms can be analytically characterized, but such analysis is questionable or even impossible for more complicated algorithms, such as Model Predictive Control (MPC). ...
Panagiotis D. Vouzis, Sylvain Collange, Mark G. Ar...
ICCAD
1992
IEEE
148views Hardware» more  ICCAD 1992»
14 years 1 months ago
McPOWER: a Monte Carlo approach to power estimation
Excessive power dissipation in integrated circuits causes overheating and can lead to soft errors and or permanent damage. The severity of the problem increases in proportion to t...
Richard Burch, Farid N. Najm, Ping Yang, Timothy N...
WSC
2008
14 years 5 days ago
An application of parallel Monte Carlo modeling for real-time disease surveillance
The global health, threatened by emerging infectious diseases, pandemic influenza, and biological warfare, is becoming increasingly dependent on the rapid acquisition, processing,...
David W. Bauer, Mojdeh Mohtashemi
TSP
2008
157views more  TSP 2008»
13 years 9 months ago
Sequential Monte Carlo Methods for Tracking Multiple Targets With Deterministic and Stochastic Constraints
In multitarget scenarios, kinematic constraints from the interaction of targets with their environment or other targets can restrict target motion. Such motion constraint informati...
Ioannis Kyriakides, Darryl Morrell, Antonia Papand...
ICC
2009
IEEE
116views Communications» more  ICC 2009»
14 years 4 months ago
Markov Chain Monte Carlo Detection Methods for High SNR Regimes
—Statistical detectors that are based on Markov chain Monte Carlo (MCMC) simulators have emerged as promising low-complexity solutions to both multiple-input multipleoutput (MIMO...
Salam Akoum, Ronghui Peng, Rong-Rong Chen, Behrouz...