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JCNS
2010
13 years 5 months ago
2010
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...
VTC
2007
IEEE
14 years 1 months ago
2007
IEEE
Abstract— This paper studies the mutual information transfer characteristics of a novel iterative soft interference cancellation (SIC) aided beamforming receiver designed for qua...
WSC
2008
13 years 9 months ago
2008
We develop and evaluate a semiparametric method to estimate the mean-value function of a nonhomogeneous Poisson process (NHPP) using one or more process realizations observed over...
TMC
2010
13 years 5 months ago
2010
—Location and intersensor distance estimations are important functions for the operation of wireless sensor networks, especially when protocols can benefit from the distance info...
ISAAC
2003
Springer
14 years 18 days ago
2003
Springer
Abstract. In this paper, we propose a Markov chain for sampling a random vector distributed according to a discretized Dirichlet distribution. We show that our Markov chain is rapi...