notch01

spectral-clustering-demo 谱聚类的matlab演示程序，是学习谱聚类的好资料，经调试通过，包含n-cut和改进的n-cut(spectral-clustering-demo demo matlab spectral clustering, spectral clustering is good information to learn by debugging through, including the n-cut and improving the n-cut)

Bloc matching video processing

this code implementation fir filter.

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：  基于PCA的人脸表情识别，可以辨别高兴，愤怒和厌恶三种表情。 (In this project, Eigenfaces are used to classify facial expression. It has been assumed that, facial expression can be classified into some discreet classes (like anger, happiness, disgust or sadness) whereas: 1. Absence of any expression is the "Neutral" expression 2. Intensity of a particular expression can be identified by the level of its "dissimilarity" from the Neutral expression)

MPC的经典教材介绍了离散和连续系统设计的方法以及matlab设计(the book of MPC)

黄金分割法的matlab程序，绝对正确，goldenstein(Golden section method of matlab procedures, absolutely correct, goldenstein)

新PROSPECT可模拟多色素信息叶片光谱特征(new PROSPECT can model multiple leaf pigment information spectra)

jacfar for reinforcement learning training

对椒盐噪声和噪声分别进行3种滤波,包括算术均值滤波、几何均值滤波、中值滤波(three kinds of filter to salt and pepper noise and gaussian noise ,including arithmetic mean filter, geometric mean filter, median filter)