首页>
外国专利>
ESTIMATION OF LOG-LIKELIHOOD USING CONSTRAINED MARKOV-CHAIN MONTE CARLO SIMULATION
ESTIMATION OF LOG-LIKELIHOOD USING CONSTRAINED MARKOV-CHAIN MONTE CARLO SIMULATION
展开▼
机译:用约束马尔可夫链蒙特卡罗模拟估计对数似然
展开▼
页面导航
摘要
著录项
相似文献
摘要
Log likelihood ratios for data bits transmitted in a multi-dimensional signal are estimated using multiple Markov chain Monte Carlo simulations (MCMC). The MCMC simulations can include constraining symbols based on a most-likely symbol to improve the likelihood of finding distances for non-most-likely symbols. The log likelihood ratios can be calculated based on distances of the most-likely symbol and the non-most-likely symbols.
展开▼