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MMAS
2011
Springer
13 years 2 months ago
Scalable Bayesian Reduced-Order Models for Simulating High-Dimensional Multiscale Dynamical Systems
While existing mathematical descriptions can accurately account for phenomena at microscopic scales (e.g. molecular dynamics), these are often high-dimensional, stochastic and thei...
Phaedon-Stelios Koutsourelakis, Elias Bilionis
DAC
2008
ACM
14 years 8 months ago
Partial order reduction for scalable testing of systemC TLM designs
A SystemC simulation kernel consists of a deterministic implementation of the scheduler, whose specification is nondeterministic. To leverage testing of a SystemC TLM design, we f...
Sudipta Kundu, Malay K. Ganai, Rajesh Gupta
ICCV
2009
IEEE
15 years 13 days ago
Time Series Prediction by Chaotic Modeling of Nonlinear Dynamical Systems
We use concepts from chaos theory in order to model nonlinear dynamical systems that exhibit deterministic behavior. Observed time series from such a system can be embedded into...
Arslan Basharat, Mubarak Shah
ICC
2000
IEEE
211views Communications» more  ICC 2000»
13 years 12 months ago
Higher Order Adaptive Filter Based Predistortion for Nonlinear Distortion Compensation of Radio over Fiber Links
 The biggest limitation of Radio over Fiber (ROF) links in a wireless network is its limited dynamic range due to ‘Non Linear Distortions’ (NLD). In this paper a higher orde...
Xavier N. Fernando, Abu B. Sesay
CVGIP
2006
75views more  CVGIP 2006»
13 years 7 months ago
Momentum-based parameterization of dynamic character motion
This paper presents a system for rapid editing of highly dynamic motion capture data. At the heart of this system is an optimization algorithm that can transform the captured moti...
Yeuhi Abe, C. Karen Liu, Zoran Popovic