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GLOBECOM
2007
IEEE
14 years 4 months ago
Markov Chain Monte Carlo MIMO Detection Methods for High Signal-to-Noise Ratio Regimes
— Markov Chain Monte Carlo methods have recently been applied as front-end detectors in multipleinput multiple-output (MIMO) communication systems. Moreover, the near capacity be...
Xuehong Mao, Peiman Amini, Behrouz Farhang-Borouje...
IVC
2008
141views more  IVC 2008»
13 years 9 months ago
Segmentation of color images via reversible jump MCMC sampling
Reversible jump Markov chain Monte Carlo (RJMCMC) is a recent method which makes it possible to construct reversible Markov chain samplers that jump between parameter subspaces of...
Zoltan Kato
ICPR
2010
IEEE
14 years 4 months ago
A Graph Matching Algorithm using Data-Driven Markov Chain Monte Carlo Sampling
We propose a novel stochastic graph matching algorithm based on data-driven Markov Chain Monte Carlo (DDMCMC) sampling technique. The algorithm explores the solution space efficien...
Jungmin Lee, Minsu Cho, Kyoung Mu Lee
DATE
2010
IEEE
171views Hardware» more  DATE 2010»
14 years 2 months ago
Statistical static timing analysis using Markov chain Monte Carlo
—We present a new technique for statistical static timing analysis (SSTA) based on Markov chain Monte Carlo (MCMC), that allows fast and accurate estimation of the right-hand tai...
Yashodhan Kanoria, Subhasish Mitra, Andrea Montana...
ICC
2009
IEEE
116views Communications» more  ICC 2009»
14 years 4 months ago
Markov Chain Monte Carlo Detection Methods for High SNR Regimes
—Statistical detectors that are based on Markov chain Monte Carlo (MCMC) simulators have emerged as promising low-complexity solutions to both multiple-input multipleoutput (MIMO...
Salam Akoum, Ronghui Peng, Rong-Rong Chen, Behrouz...