guangfudianchi

this is pdf it is very useful for study the matlab and functions

直方图均衡化是指将一幅图像的像素值均匀地分布在图像的各个区间上，从而是图像的视觉效果得到改善。(Histogram equalization is an image pixel values evenly distributed in various intervals in the image, which is to improve the image of the visual effects.)

matlab算法工具箱，本工具箱主要包含三部分内容 (支持平台MATLAB5.3或5.2,Symbolic math,optim,spline,stats) 1. MATLAB常用数学建模工具的中文帮助 2. 贡献MATLAB数学建模工具(打*号) 3. 中国大学生数学建模竞赛历年试题MATLAB程序(Almost algorithm matlab toolbox)

相关向量机(RVM)的matlab源程序，包含快速算法，内含代码使用说明。 RVM采取是与支持向量机相同的函数形式稀疏概率模型，对未知函数进行预测或分类。 优点： (1) 不仅仅输出预测目标量的点估计值,还可以输出预测值的分布. (2) 使用更少数量的支持向量,从而显著减少输出目标量预测值的计算时间. (3) RVM不需要估计过多的参数. (4) RVM对是否满足Mercer 定理的核函数没有限制,适应性更好(Relevance Vector Machine (RVM) of the matlab source code, including fast algorithm that contains code for use. RVM support vector machine is taken the same functional form sparse probabilistic model to predict the unknown function or classification. Advantages: (1) is not only the amount of output predicted target point estimates, but also the distribution of predicted values ​ ​ can be output. (2) using a smaller number of support vectors, thereby significantly reducing the output target amount predicted value calculation time. (3) RVM does not require excessive parameter estimation. (4) RVM meets Mercer theorem on the kernel function is not limited, and better adaptability)

buck converter using the matlab .mdl file for basic learners

Vector Component Analysis

一个包含常用特征提取方法的matlab工具包。内含 PCA, CCA, mnf, pls 、 KPCA, KCCA, kmnf, kpls 等算法的实现源码(a matlab toolkit Containing some common feature extraction methods . Containing PCA, CCA, mnf, pls, KPCA, KCCA, kmnf, kpls algorithm implementation source)

用Baum-Welch算法来迭代估计一个隐马尔科夫模型（HMM）的初始状态概率分布以及其状态转移概率矩阵。其中文件有mainfile_B_W.m为主函数，Baum_Welch.m为Baum-Welch算法迭代函数，Forward_variable.m与Backward_variable.m与Gamma_variable.m与Ksi_variable.m是需要计算的四种因子，B_pdf.m为混淆散射概率密度函数。(It s Baum-Welch algorithm for iteratively estimating the initial states probability distribution and state transition probability matrix. In the folder, "mainfile_B_W.m" is the main function, and "Baum_Welch.m" is the iteration Baum-Welch function. Also these four file "Forward_variable.m " "Backward_variable.m" "Gamma_variable.m" "Ksi_variable.m" are used for calculating crucial factors. "B_pdf.m" is the emission probability distrubution function.)

说明：  最优化方法（防止限于局部最优等情况时）验证函数，以确定方法的有效性(Test functions)

网络IMC控制的matlab实现。简单实例的仿真程序，源代码。(Network IMC control MATLAB program)