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JPEG图像压缩标准MATLAB仿真程序。包括DCT变换及其逆变换、量化及反量化等过程。(JPEG image compression standard MATLAB simulation program. Including the DCT transform and its inverse transform, quantization and inverse quantization and other processes.)

图论研究中的独立集问题的matlab程序，实践证明很好用啊！(Graph Theory Research the issue of an independent set of matlab procedures, practice has proved very good with ah!)

动态矩阵预测控制DMC的matlab程序，多输入多输出的。(Dynamic Matrix Control DMC matlab program, multi-input multi-output.)

This is a simple program to calculate the output of artificial neural network (ANN) using microcontroller ATMega 32. Assume that the neural architecture is : 2 hidden layers with 4 and 2 neurons respectively and 1 layer output with 1 neuron.This program explains the step how to compute the ANN in off-line mode.Means the weights and biases are already exist (microcontroller is not doing the learning steps). These parameters are produced using MATLAB. Therefore, we have already made the appropriate architecture using MATLAB. The tansig function is use in both of hidden layer. Finally, the neural output will be displayed on LCD port C.

说明：  MATLAB程序设计 内容包括： 1 M文件 2 程序控制结构 3 函数文件 4 程序练习 5 程序调试 (MATLAB program design includes: 1 M program structure document 2 document 3 function 4 Exercises 5 program debugging process)

遗传算法主要是三个算子的作用，而聚类对初始中心和分的类数确定很差，本思想吧两者的优点联系到了一起(The genetic algorithm is mainly the function of three operators, and the clustering is very bad to the initial center and the class number of the Division)

SVM方法的基本思想是：定义最优线性超平面，并把寻找最优线性超平面的算法归结为求解一个凸规划问题。进而基于Mercer核展开定理，通过非线性映射φ，把样本空间映射到一个高维乃至于无穷维的特征空间（Hilbert空间），使在特征空间中可以应用线性学习机的方法解决样本空间中的高度非线性分类和回归等问题。svm 程序，即支持向量机的代码。(The basic idea of SVM method are: the definition of the optimal linear hyperplane, and the search algorithm for optimal linear hyperplane by solving a convex programming problem. Then based on Mercer nuclear expansion theorem, through a nonlinear mapping φ, the sample space is mapped to a high-dimensional and even infinite dimensional feature space (Hilbert space), so that in the feature space can be applied to solve the linear learning machine method, the sample space The highly nonlinear classification and regression problems. svm procedures that support vector machine code.)

二维插值的应用。二维插值主要应用于图像处理和数据的可视话。主要方法有：最邻近插值；双线形插值；三次样条插值等方法。该源码可以看出其中区别。(Application of two-dimensional interpolation. Two-dimensional interpolation is mainly used in image processing and visualization of data words. Main methods are: the nearest interpolation double linear interpolation cubic spline interpolation and other methods. The source can be seen the difference between them.)

This is the code for car rental website

matlab随机子空间 可以进行模态识别(matlabmatlab)