matlab中白噪声手动产生、使用自带白噪声函数产生及验证白噪声添加是否正确

matlab编写的信号处理工具箱，很多程度，对于信号处理的很有用(matlab program for signal processing)

应用bp神经网络进行分类的实例，很简单适合初学者。(Application of bp neural network to classify instances, is very simple for beginners.)

Elman神经网络的数据预测—电力负荷预测模型研究，非常不错的神经网络(Elman neural network data prediction power load forecasting model research, a very good neural network.)

说明：  本算法为粒子群优化算法，适用于初学者，压缩包中附带了一个基本函数用于实践。(This algorithm is a particle swarm optimization algorithm, which is suitable for beginners. A basic function is attached to the compression package for practice.)

说明：  迭代学习控制源代码，希望学习次控制方法的朋友能和我交换资源(Iterative learning control source code, want to learn controls the method of exchange of resources and my friends can)

说明：  基于MATLAB的组合模型 在港口吞吐量预测中的应用 以某港1998--2007年集装箱吞吐量为实测数据，建立其集装箱吞吐量的灰色理论、三次指数平滑、三次多项式 等预测模型，在MATLAB下，对比该港集装箱吞吐量各模型预测拟合值与实际值的差异。分析了差异产生的原因及其单一预 测模型的局限性，提出了港口集装箱吞吐量组合预测法。其预测误差明显低于其它单模型。运用组合预测模型．可以降低误 差。提高预测精度。(A combination of MATLAB-based model in port throughput prediction of a Hong Kong 1998- 2007 container throughput for the measured data, the establishment of its container throughput of the gray theory, the three exponential smoothing, prediction models, such as cubic polynomial in MATLAB, the contrast of the Hong Kong container throughput of fitting the models to predict the value of the difference between the actual value. Analysis of the causes of differences and the limitations of a single prediction model, the combination of port container throughput prediction. Its prediction error was significantly lower than other single model. The use of combination forecasting model. Can reduce the error. Improve the prediction accuracy.)

this code used to do features extraction from an image

完全由MATLAB开发的经典红白机游戏“超级马里奥”，包括GUI界面，作为娱乐消遣(By MATLAB development of the classic NES game “Super Mario”, including the GUI interface, for entertainment)

实现shift算法，进行精确的图像识别，可以抵抗各种旋转、平移、缩放等仿射变换的攻击(Realize shift algorithm, an accurate image recognition, you can resist all kinds of rotation, translation, scaling affine transformation attack)

基于YCbCr颜色空间的人脸分割程序，且对大量实验图片验证均有效(YCbCr color space based on face segmentation procedure, and the picture of a large number of experimental verification are valid)