GMMmodelandtheBayesianclassifier

在此pdf文件里论诉了MATLAB图像合成的相关知识，并给出了其具体实现。我自己已经实现过，代码很全没有问题。(In this pdf document on the MATLAB Image Synthesis v. knowledge, and gives the concrete realization. I myself have been achieved, the code is no problem with the whole.)

图论，最短路算法。。。。。。。。。。。。。。。。(Graph theory, the shortest path algorithm。。。。。。。。。。。。。。。。。。。。。。。 )

循环载入文本程序，适合大样本载入，很好用，推荐大家下载(Cyclic loading program text, suitable for large sample loading, useful, recommended download)

简要的Gauss列主元消去法，很实用，用matlab实现，还有一个图例，程序说明很详细(brief Gauss main-element elimination, very practical, using Matlab to achieve, there is a legend, a very detailed description of the procedures)

Matlab上编写的一个Monte-Carlo算法的示例程序和PPT资料(The sample program prepared by a Monte-Carlo algorithm on Matlab)

NSGA2 解决多目标优化问题，在MATLAB下编程实现，包含注释(A multi-objective optimization)

Conversion from absorbance to transmittance or vice versa 将光从吸光度转为透光度，或相反(Conversion from absorbance to transmittance or vice versa will be light from absorbance to transmittance, or vice versa)

bcjr algorithm wihich is ised for decoding convolutional encoder

PSO_DynamicEnvironment是用粒子群算法（particle swarm algorithm）解决动态环境寻优（最优值不断变化）的问题。文件打开后运行PSO_DynamicEnvironment.m文件即可得到结果，代码中有详细注释，方便修改。运行示例已经保存为图片附在压缩包中。(PSO_DynamicEnvironment solve dynamic environment particle swarm optimization algorithm (particle swarm algorithm) (optimal value changing) problems. Run PSO_DynamicEnvironment.m file to get the file to open the result, the code has detailed notes, easy to modify. Run the sample has been saved as a picture attached to the compressed package.)

K-SVD是一种经典的字典训练算法，依据误差最小原则，对误差项进行SVD分解，选择使误差最小的分解项作为更新的字典原子和对应的原子系数，经过不断的迭代从而得到优化的解。(K-SVD is a classic dictionary training algorithm, based on the principle of minimum error, the error items SVD decomposition, choose to make the smallest error decomposition item as an updated dictionary of atoms and atomic corresponding coefficient, through constant iteration to obtain an optimized solution.)