diandao

用MATLAB实现基于块匹配算法的运动估计，使用的算法是EBMA，能运行处结果的。(Using MATLAB to achieve block-matching algorithm based on motion estimation, using the algorithm is EBMA, can run office results.)

灰色预测模型，详细介绍了灰色预测的理论及前景(Grey forecasting model, described in detail the theory and prospects Grey)

利用matlab编程pca和fld算法来计算人的特征脸(Programming using matlab pca and fld algorithm to calculate the characteristics of human face)

最优状态估计，包括卡尔曼滤波、H_inf、UKF(optimal state estimation)

统计模式识别工具箱（Statistical Pattern Recognition Toolbox）包含： 1，Analysis of linear discriminant function 2，Feature extraction: Linear Discriminant Analysis 3，Probability distribution estimation and clustering 4，Support Vector and other Kernel Machines( This section should give the reader a quick overview of the methods implemented in STPRtool. • Analysis of linear discriminant function: Perceptron algorithm and multiclass modification. Kozinec’s algorithm. Fisher Linear Discriminant. A collection of known algorithms solving the Generalized Anderson’s Task. • Feature extraction: Linear Discriminant Analysis. Principal Component Analysis (PCA). Kernel PCA. Greedy Kernel PCA. Generalized Discriminant Analysis. • Probability distribution estimation and clustering: Gaussian Mixture Models. Expectation-Maximization algorithm. Minimax probability estimation. K-means clustering. • Support Vector and other Kernel Machines: Sequential Minimal Optimizer (SMO). Matlab Optimization toolbox based algorithms. Interface to the SVMlight software. Decomposition approaches to train the Multi-class SVM classifiers. Multi-class BSVM formulation trained by Kozinec’s algorithm, Mitchell- Demyanov-Molozenov algorithm )

需要参考图像的图像质量评测算法(MS-SSIM)(Multi-Scale Structural Similarity Index (MS-SSIM). )

自己编的MATLAB线性规划小程序，分享一下。(Own small linear programming of MATLAB procedures, to share.)

Etude et Simulation d’estimateurs et observateurs robustes de flux et de vitesse pour la machine asynchrone

matlab code for averaging data time series

MATLAB克里金差值，主要是之前收集的一些程序汇总(MATLAB Kriging Difference)