[Michel_Verhaegen-_Vincent_Verdult]_Filtering_and

B样条工具箱，一个非常有用的matlb工具箱 可以很方便的进行样条插值(B-spline toolbox, a very useful matlb Toolbox can easily be spline interpolation)

Find the theorical capacity of an optical comb sistem

i found in net it is good for matlam developing in power systems filed.

说明：  维纳滤波，可以有效地滤除信号中的噪声,适应于某些工程(Wiener filtering.It can effectively filter the noise in the signal.Suitable for some projects)

Computational Colour Science Using MATLAB

将core.txt文件放在C盘根目录下,然后打开matlab，点击“文件”-“打开”选中main.m文件，“运行”这个文件。 命令窗口马上就会显示出运行结果。 mm_Red.m为封装的盲目约简算法.返回值为约简结果. sxzyd_Red为封装的基于属性重要度约简算法.返回值为约简结果. bsjz_Red为封装的辨识矩阵约简算法.返回值为辨识矩阵和约简结果. cal_sig为封装的求属性重要度的函数。 max_min为封装的求属性度最大，划分个数最小的属性的函数。 dele_max为封装的删除属性度最大，划分个数最小的属性的函数。 mycore.m为封装的求核函数. myind为封装的求划分的函数. ind_E_a为求每个属性的划分的函数.(Files on the core.txt to the C root directory, then open matlab, click on " File" - " Open" main.m file is selected, " Run this file. The command window is displayed immediately run results. mm_Red.m the package blindly reduction algorithm. return value reduction results. sxzyd_Red degree reduction algorithm based on attributes important to package the return value is the result of the reduction. bsjz_Red matrix reduction algorithm for the identification of the package. return value identification matrix and reduction results. cal_sig package attribute importance to the function. max_min demand for the package attribute degrees largest division of the function of the minimum number of attributes. delete attribute degrees dele_max package is the largest division of the function of the minimum number of attributes. mycore.m seeking nuclear function package. myind package and by function. ind_E_a for the sake of each attribute divided function.)

伪谱法求解程序，用于进行轨迹优化的有效方法(Gauss psedospectral method, used for trajectory optimization)

此算法对阵元信号进行估计，仿真结果显示其有效性(dmusic estimation)

格子BLOTZMANN方法，两相流 matlab程序(Lattice BLOTZMANN method, two phase flow matlab program)

基于RBF网络补偿的控制输入受限滑模控制(Compensation control based on RBF network sliding mode control input constraints)