Menu(DEMO)

简单的绘图示例程序，matlab作业中的要求(Example of a simple drawing program, matlab operations requirements)

读入ORL人脸库的指定数目的人脸前前五张(训练) 输入：nFacesPerPerson --- 每个人需要读入的样本数，默认值为 5 nPerson --- 需要读入的人数，默认为全部 40 个人 bTest --- bool型的参数。默认为0，表示读入训练样本（前5张）；如果为1，表示读入测试样本（后5张）(Read into the ORL face database face before the specified number of five sheets (Training) Input: nFacesPerPerson--- everyone needs to read the sample size, the default value is 5 nPerson--- the number of people need to read , the default for all 40 individual bTest--- bool type parameters. The default is 0, read the training samples (top 5) If 1, read that the test samples (after 5))

实现了最低有效位LSB水印算法。 压缩文件中含有原图，可直接放到Matlab中运行。(We realize the least significant bit （LSB） watermarking algorithm. It contains all the images you need,and it can be run directly in Matlab.)

在工程应用中 经常会遇到一些复杂的非线性系统, 这些系统状态方程复杂, 难以 用数学方 法准确建模。 在这种情况下, 可以 建立 BP 神 经网 络表达这些 非 线 性系 统。 该方法把未 知 系 统看成是一个黑箱, 首先用 系 统 输入输出 数据 训 练 BP 神 经网 络, 使网 络能 够表达该未 知 函 数, 然后就可以 用训练好的 BP 神经网络预测系统输出 。 本章拟合的非线性函 数为 y = x1^2+x2^2. 。 (In engineering applications often encounter some complex nonlinear systems, which complicated the equation of state, can not be accurately modeled mathematically. In this case, BP neural network can be established to express these nonlinear systems. The method of the unknown system as a black box, the first input and output data with systematic training BP neural network, the network can express the unknown function, then you can use the trained BP neural network forecasting system output. Chapter for fitting non-linear function y = x1 ^ 2+x2 ^ 2..)

单个圆椭球干扰计算(根据切片法理论计算)(Single round ellipsoid interference calculations)

NCC算法的matlab的实现，代码简单易懂，只是运行时间稍长。(NCC algorithm matlab implementation, the code is simple to understand, just run a little longer.)

Simulink model of a 1.5 MW wind turbine with direct-driven permanent magnet generator

this is matlab code for the home work assignment. it will be help ful to some guy

Object tracking in computer vision refers to the task of tracking individual moving objects accurately from one frame to another in an image sequence. Several tracking methods have been proposed in the recent literature capable of coping with a certain degree of occlusions of the objects.

子空间辨识算法，附带着该算法的参考文献有助于对算法的学习(Subspace identification algorithm, contribute to learning algorithm )