jengyiu

EMD分解，可以有效的解决EMD分解问题，并嫩而过画出希尔伯特谱(EMD decomposition, can effectively solve the problem of EMD and tender and had drawn Hilbert spectrum)

粒子群算法，用于对物流供应进行最优化的一种数学模型，本例中是设计了十个销售点的模型(Particle swarm algorithm for optimizing the logistics supply a mathematical model, in this case is the design of the 10 model point of sale)

几个PID控制器的设计，对初学者相信又所帮助(PID controller design for a number of beginners think they are helping)

this is the total program representation of the histogram technique and histogram equilisation technique for image processing in MATLAB

Matlab下实现图像自适应性阈值分割，算法使用大律法，可直接运行(Matlab to achieve adaptive image thresholding, algorithm uses a large law can be directly run)

捷联式惯性导航的传递对准，使用matlab语言编写(Transfer alignment of inertial navigation)

matlab 图像处理中的 门限thresh的取定方法实例(Matlab image processing threshold thresh determined from the examples)

用matlab实现的一个最小二乘法的简单例子(Using matlab to achieve a simple example of least squares)

EM 算法是Dempster，Laind，Rubin于1977年提出的求参数极大似然估计的一种方法，它可以从非完整数据集中对参数进行 MLE估计，是一种非常简单实用的学习算法。这种方法可以广泛地应用于处理缺损数据、截尾数据以及带有噪声等所谓的不完全数据，可以具体来说，我们可以利用EM算法来填充样本中的缺失数据、发现隐藏变量的值、估计HMM中的参数、估计有限混合分布中的参数以及可以进行无监督聚类等等。(EM algorithm is a method for maximum likelihood estimation of parameters proposed by Dempster, Laind and Rubin in 1977. It can estimate parameters from incomplete data sets by MLE. It is a very simple and practical learning algorithm. This method can be widely used in dealing with the so-called incomplete data such as defective data, censored data and noisy data. Specifically, we can use EM algorithm to fill missing data in samples, find hidden variable values, estimate parameters in HMM, estimate parameters in finite mixed distribution, and so on. Unsupervised clustering and so on.)

说明：  MATLAB实用教程第2版程序源码讲解很明白(Understand very well explain)