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multiScale_KalmanFilter
- 用多尺度卡尔曼滤波法，对信号参数进行识别估计。高频信号和低频信号识别结合起来改进了算法识别的精确度和准确度。-It is an implementation of hierarchical (a.k.a. multi-scale) Kalman filter using belief propagation. The model parameters are estimated by expectation maximization (EM) algorithm. In this impleme
em
- 在统计计算中，最大期望（EM）算法是在概率（probabilistic）模型中寻找参数最大似然估计或者最大后验估计的算法，其中概率模型依赖于无法观测的隐藏变量（Latent Variable）。最大期望经常用在机器学习和计算机视觉的数据聚类（Data Clustering）领域。 -In the statistical calculations, the maximum expected (EM) algorithm parameter maximum likelihood estimate
CN_fdtd_3d_pml
- 介绍一种结合CN-FDTD方法和UPML的新算法，它能以较高的精度解决3维电磁散射问题。-this code contains a new algorithm that combines CN-FDTD and UPML which can result in low computing dispersion in solving EM problems.
CPP-UI_EM_5
- 用Visual studio 2010 开发的EM 算法-EM algorithm is developed using Visual studio 2010
liu
- 状态模型的极大似然估计，使用EM算法，以及卡尔曼滤波。-This supplementary note discusses the maximum likelihood esti-mation of state space models using Expectation-Maximization (EM) algorithm and bootstrap procedure for statistical inference. A Matlab program scr ipt impleme
EM
- 自己编写的期望最大化（EM）算法的MATLAB实现，里面有较为运行方法和程序说明，对新手有很好的帮助- I have written the expectation-maximization (EM) algorithm in MATLAB, which has run more methods and procedures described, there is a good help for the novice
EM_GMM
- 基于EM算法实现的高斯混合模型数据分类，可以很优秀的对各种数据进行聚类分析，R语言实现-EM algorithm based on Gaussian mixture model data classification, can be very good for a variety of data clustering analysis, R language
EMAlgorithm
- 运用EM算法生成任意条件下的二维高斯分布-Using the EM algorithm to generate a two-dimensional Gaussian distribution in any condition