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ICASSP
2011
IEEE
14 years 2 months ago
Langevin and hessian with fisher approximation stochastic sampling for parameter estimation of structured covariance
We have studied two efficient sampling methods, Langevin and Hessian adapted Metropolis Hastings (MH), applied to a parameter estimation problem of the mathematical model (Lorent...
Cornelia Vacar, Jean-François Giovannelli, ...
DCOSS
2011
Springer
13 years 10 months ago
Distributed local broadcasting algorithms in the physical interference model
—Given a set of sensor nodes V where each node wants to broadcast a message to all its neighbors that are within a certain broadcasting range, the local broadcasting problem is t...
Dongxiao Yu, Yuexuan Wang, Qiang-Sheng Hua, Franci...
STOC
2012
ACM
192views Algorithms» more  STOC 2012»
13 years 1 months ago
Nearly optimal sparse fourier transform
We consider the problem of computing the k-sparse approximation to the discrete Fourier transform of an ndimensional signal. We show: • An O(k log n)-time randomized algorithm f...
Haitham Hassanieh, Piotr Indyk, Dina Katabi, Eric ...
AIPS
2006
15 years 3 days ago
Optimal STRIPS Planning by Maximum Satisfiability and Accumulative Learning
Planning as satisfiability (SAT-Plan) is one of the best approaches to optimal planning, which has been shown effective on problems in many different domains. However, the potenti...
Zhao Xing, Yixin Chen, Weixiong Zhang
ICC
2007
IEEE
120views Communications» more  ICC 2007»
15 years 5 months ago
Joint Power and Constellation Size Adaptation for Mobile Multicast Employing MQAM Over Wireless Fading Channels
Abstract— We propose a power and constellation-size adaptation scheme for the multicast system employing multilevel quadrature amplitude modulation (MQAM) with discrete constella...
Qinghe Du, Xi Zhang