ekf1153

基于等均值等方差的图象矢量量化Matlab程序(Based on the mean variance of the image, such as vector quantization Matlab procedures)

almanak reader polar plot

用于达芬阵子求互信息延时的计算，可以很好的用于非线性动力学(duffing mutual)

matlab robotics 工具箱 机器人运动学计算资料(matlab robotics toolbox ：robot kinematics calculations)

基于图像内容结构、相位相似性的图像质量评价算法（FSIM）(FSIM: image structure and congrency similarity based image quality assessment)

燃料电池 simulink仿真模型，主要用于燃料电池系统仿真(fuel cell simulink models)

说明：  粒子滤波、无迹粒子滤波算法程序，高斯混合模型参数设置等详细代码(Particle filter, unscented particle filter program, Gaussian mixture model parameter settings, and more code)

This tutorial is designed to give the reader an understanding of Principal Components Analysis (PCA). PCA is a useful statistical technique that has found application in fields such as face recognition and image compression, and is a common technique for finding patterns in data of high dimension. Before getting to a description of PCA, this tutorial first introduces mathematical concepts that will be used in PCA. It covers standard deviation, covariance, eigenvectors and eigenvalues. This background knowledge is meant to make the PCA section very straightforward, but can be skipped if the concepts are already familiar.

电机矢量控制仿真，包含自建的异步电机模型，svpwm模型等(modle of motor vector control)

基于ukf目标追踪，包含sigma采样、ut变换、ukf的m文件和一个简单的追踪实例(Ukf-based target tracking, including sigma sampling, ut transform, ukf m-files and a simple trace instances)