三个程序、

low pass filtering and global communication and wiener filter

迭代学习控制应用于多输入多输出模型，采用s函数与simulink模型结合方式(iterative control)

多频率点的凹口滤波，干扰对消，实现信号与噪声的分离，效果很好。(Recesses of the multi-frequency filtering, interference canceller to realize the separation of signal and noise, and the effect is good.)

Abstract There are a number of interesting variable selection methods available beside the regular forward selection and stepwise selection methods. Such approaches include LASSO (Least Absolute Shrinkage and Selection Operator), least angle regression (LARS) and elastic net (LARS-EN) regression. There also exists a method for calculating principal components with sparse loadings. This software package contains Matlab implementations of these functions. The standard implementations of these functions are available as add-on packages in S-Plus and R. Keywords LASSO, LARS, SPCA, Matlab, Elastic Net, Sparse, Sparsity, Variable selection

Method upwind for equation of advection 1d in Matlab

Unscented Kalman filter and Kalman Filter

Unit Commitment Methods to Accommodate High Levels of Wind Generation

殖民竞争算法代码（CCA）也被称为帝国主义的竞争算法（ICA），这是其在matlab中的实现。 (Colonial competitive algorithm codes (CCA) is also known as imperialist competitive algorithm (ICA), which is in its implementation in matlab.)

神经网络基础，内涵神经网络的基础实例，包括图像的训练识别以及不同神经网络类型的程序实例(Neural network based on neural network-based instance of content, including images of the neural network training and the different types of identifying instances of the program)

图像处理MATLAB程序（教学使用）-图像灰度级修正（直方图均衡化）(MATLAB image processing program (Teaching)- image gray level correction (histogram equalization))