Given the observed hydrological data, the model can estimate the posterior probability distribution of each location of change-point by using the Monte Carlo Markov Chain (MCMC) sampling method.
该模型的核心部分是根据观测到的资料，通过蒙特卡洛马尔科夫链随机抽样的方法来估计变点位置的后验概率分布。
A novel method is proposed for digital modulation classification based on Markov chain Monte Carlo (MCMC).
提出了一种基于马尔可夫链蒙特卡罗(MCMC)的数字调制分类方法。
A novel method is proposed for digital modulation classification based on Markov chain Monte Carlo (MCMC).
提出了一种基于马尔可夫链蒙特卡罗(MCMC)的数字调制分类方法。
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