Grating-diffraction

matlab语言实现的k-means算法，用于对数据对象进行分类。(matlab language of the k-means algorithm to classify the data objects.)

Code to determine the relationship between utility and price in a cooperative network

简单的K均值聚类函数，用于求算重心的函数，算法高效快速(Simple K-means clustering function for calculating the center of gravity function, the algorithm is fast and efficient)

License from matlab 2017a

书籍：高等光学仿真-光波导激光，通过具体例子展示matlab的强大功能(Books: higher- optical waveguide laser optical simulation, through specific examples show the powerful functions of matlab)

用matlab对照片进行频域变换，并进行简要分析比较DCT、DFT、WH等方式重构的图像与原始图像之间的差别，并写出报告(use matlab to perform the frequence transform and use DCT/DFT/WH to rebuild the picture, analysis the difference and report)

灰色预测[GM(1,1) ]MATLAB程序(已经测试运行)(Gray prediction [GM (1,1)] MATLAB program (test run))

Fast video loading code do background subtraction subtracting all frames from first frame and show the result video so fast

peer pressure聚类算法 可以实现社会网络的简单聚类分析。(peer pressure clustering Algorithm)

analyze data association algorithms (Nearest Neighbour and JCBB) in SLAM. Data association is basically a combinatorial optimization problem whose goal is to find the “best” set of associations between the observations and predictions according to a particular criterion (e.g. individual compatibility). Form this point of view, near- est neighbour (NN, a.k.a. ML) is simply a “greedy” algorithm in which the “compatibility” of individual associations with each other is not examined. On the contrary, JCBB, by considering both the individual and joint compatibility, is able to yield much better results. JCBB uses the branch and bound technique in order to prune the search tree