最大后验概率的vertbi算法的译码算法,Maximum a posteriori probability decoding algorithm vertbi algorithm

贝叶斯分类器的分类原理是通过某对象的先验概率，利用贝叶斯公式计算出其后验概率，即该对象属于某一类的概率，选择具有最大后验概率的类作为该对象所属的类-Bayesian classifier principle a priori probability of the object using the Bayesian formula to calculate the subsequent posterior probability that the object belongs to a certa

经典的灰度共生矩阵纹理计算方法，最大似然（ML）准则和最大后验概率（MAP）准则，从先验概率中采样，计算权重。- Classic GLCM texture calculation method, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, Sampling a priori probability, calculate the weight.

要对单变量正态分布以及分类分布两种概率分布 模型，分别采用最大似然（ML），最大后验（MAP）以及贝叶斯估计（Bayes）的 方法进行概率密度估计。 -In this paper, the maximum likelihood (ML), maximum a posteriori (MAP) and Bayesian estimation (Bayes) methods are used to estimate the probability density of two kinds of pr

Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, Synthetic Aperture Radar (SAR) imaging simulation target, Including regression analysis and probability and statistics.