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» On Multiple Linear Approximations
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TWC
2008
148views more  TWC 2008»
14 years 11 months ago
ARMA Synthesis of Fading Channels
Computationally scalable and accurate estimation, prediction, and simulation of wireless communication channels is critical to the development of more adaptive transceiver algorith...
Hani Mehrpouyan, Steven D. Blostein
CGF
2004
108views more  CGF 2004»
14 years 11 months ago
Interference Detection for Subdivision Surfaces
Accurate and robust interference detection and ray-tracing of subdivision surfaces requires safe linear approximations. Approximation of the limit surface by the subdivided contro...
Xiaobin Wu, Jörg Peters
CCE
2010
14 years 9 months ago
A simple heuristic for reducing the number of scenarios in two-stage stochastic programming
In this work we address the problem of solving multiscenario optimization models that are deterministic equivalents of two-stage stochastic programs. We present a heuristic approx...
Ramkumar Karuppiah, Mariano Martín, Ignacio...
AUTOMATICA
2011
14 years 6 months ago
A frequentist approach to mapping under uncertainty
An asynchronous stochastic approximation based (Frequentist) approach is proposed for mapping using noisy mobile sensors under two different scenarios: 1) perfectly known sensor ...
Suman Chakravorty, R. Saha
CDC
2010
IEEE
139views Control Systems» more  CDC 2010»
14 years 6 months ago
An adaptive-covariance-rank algorithm for the unscented Kalman filter
Abstract-- The Unscented Kalman Filter (UKF) is a nonlinear estimator that is particularly well suited for complex nonlinear systems. In the UKF, the error covariance is estimated ...
Lauren E. Padilla, Clarence W. Rowley