Matlab

神经网络工具箱应用简介，介绍matlab神经网络工具箱的使用(Application of neural network toolbox, matlab neural network toolbox introduce the use of)

RS码的matlabb仿真非常有帮助的东西，完整源代码。 (RS code matlabb simulation is very helpful things, complete source code.)

说明：  P0201：MATLAB赋值 P0202：MATLAB中的for循环 P0203：MATLAB中的for循环和if条件 P0205：MATLAB图像处理的基本操作 P0206：MATLAB高级图像处理操作 P0207：根据RGB图像创建一幅灰度图像 P0208：二值图像的取反操作 P0209：用imshow函数显示图像 P0210：在同一个窗口内显示两幅图像 (P0201: MATLAB assignment P0202: the MATLAB in for recycling P0203: MATLAB in for loops and if conditions P0205: MATLAB image processing operations P0206: MATLAB Advanced image processing operations P0207: RGB image to create a grayscale image P0208: two negated operation of the binary image P0209: the the imshow function display images P0210: within the same window shows two images)

这是一个matlab编写的计算人脸识别率的小程序，选选用的图像数据库位ORL数据库。，已通过测试。 (This is a matlab write a small program to calculate the face recognition rate, the election chosen image databases bit ORL database. , Has been tested.)

RBF网络能够逼近任意的非线性函数，可以处理系统内的难以解析的规律性，具有良好的泛化能力，并有很快的学习收敛速度，已成功应用于非线性函数逼近、时间序列分析、数据分类、模式识别、信息处理、图像处理、系统建模、控制和故障诊断等。(RBF network can approximate any nonlinear function, can handle regular system are difficult to resolve, with good generalization ability, and fast convergence rate, it has been successfully applied to nonlinear function approximation, time series analysis, data classification, pattern recognition, information processing, image processing, system modeling, control and fault diagnosis.)

图像分割算法之间的比较，比较前沿的放发，利用了kmeans和模糊K均值(Between the image segmentation algorithm compares the release cutting-edge hair, use a K-means and fuzzy kmeans)

说明：  四阶龙格—库塔算法。自己在课程设计中就是用的这个算法。对于初学者有一定的帮助(Fourth order Runge- Kutta method. Own course design is to use this algorithm. Be helpful for beginners)

Antenne parabolique alimentée par guide d onde

说明：  本程序采用迎风方案实现推广GAC模型的水平集方法(This procedure uses the wind to promote the program to achieve the level set method GAC model)

维纳滤波器的设计与实现程序，对初学者会有帮助(Wiener filter design and implementation of the program, will be helpful for beginners)