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JCNS
2010
104views more  JCNS 2010»
13 years 7 months ago
A new look at state-space models for neural data
State space methods have proven indispensable in neural data analysis. However, common methods for performing inference in state-space models with non-Gaussian observations rely o...
Liam Paninski, Yashar Ahmadian, Daniel Gil Ferreir...
ISQED
2009
IEEE
112views Hardware» more  ISQED 2009»
14 years 3 months ago
Estimation and optimization of reliability of noisy digital circuits
— With continued scaling, reliability is emerging as a critical challenge for the designers of digital circuits. The challenge stems in part from the lack of computationally ef...
Satish Sivaswamy, Kia Bazargan, Marc D. Riedel
AMC
2007
93views more  AMC 2007»
13 years 9 months ago
Radar network scanning coordination based on ensemble transform Kalman filtering variance optimization
In this work the variance of the error of analyzed wind fields obtained from an ensemble Kalman filter is used as a criterion with which to optimize radar network scanning strat...
Luther White, Alan Shapiro
VTC
2008
IEEE
14 years 3 months ago
An Analytical Approach to V-BLAST Detection with Optimal Ordering for Two Input Multiple Output Systems
In this paper, an analytical approach to performance analysis of vertical Bell laboratories layered space time (V-BLAST) detection with optimal ordering for systems with two transm...
Wei Peng, Shaodan Ma, Tung-Sang Ng, Jiangzhou Wang...
IROS
2006
IEEE
120views Robotics» more  IROS 2006»
14 years 3 months ago
Optimal local map size for EKF-based SLAM
Abstract— In this paper we show how to optimize the computational cost and maximize consistency in EKF-based SLAM for large environments. We combine Local Mapping with Map Joinin...
Lina María Paz, José Neira