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说明：  这些程序是MIT学生学习Matlab时的教学程序，能面还有个pdf文档附有每个程序所实现的功能(This is the teaching codes at MIT for learning Matlab. hope it is helpful for you.)

所谓阶梯式控制，就是对未来控制量的变化加以约束，强迫未来控制量以一阶指数响应曲线的形式变化。在这种控制策略下，可以避免求解控制律时的矩阵求逆，且在处理约束限制时，可方便将 和 的约束转化为对 的约束，减少了算法计算量。(The so-called ladder-type control, is the change in the future to control the amount of bound, forced to the future control the amount of the first order exponential response curve in the form of change. In this control strategy, the control law can be avoided when solving the matrix inversion, and the limit in dealing with constraints, and constraints can easily be translated into constraints, reducing the computational algorithm.)

稀疏分解信号重建程序，利用匹配追踪原理不断对信号匹配，最后达到重建信号目的。(sparse decomposition signal reconstruction procedures, the use of matching principle constantly tracking the signal matching, Finally signal to the redevelopment purposes.)

DESIGN controlled rectifier in a package of visual modeling SIMULINK

[IOVS]2011 Shadow Removal and Contrast Enhancement in OCT Images of the Human Optic Nerve Headl的实现matlab代码，医学图像增强([IOVS] 2011 Shadow Removal and Contrast Enhancement in OCT Images of the Human Optic Nerve Headl realization of matlab code medical image enhancement)

一本关于PID控制的好书，包含各种PID控制，经典PID，模糊PID，神经网络PID，灰色PID，多变量解耦PID。书中附有大量的基于Matlab的仿真程序。 (A good book on PID control, including a variety of PID control, classical PID, fuzzy PID, neural network PID, gray PID, multivariable decoupling PID. Based on the book with a large number of the simulation program Matlab.)

Optimization methods using matlab

小数据量法计算 Lyapunov 指数的 Matlab 程序 - (mex 函数，超快)(Small amount of data calculated Lyapunov index Matlab program- (mex function, ultra-fast))

DDS用matlab实现的源程序，可以实现调频信号，和调相信号(DDS source code with matlab implementation, can achieve FM signal, and phase modulation signal)

比较两个netcdf文件 1。通过添加内部ind2sub1函数remove函数依赖第三方 2。格式化文本(Description NCCMP compares two netcdf files and prints the differences. This function is useful for testing mathematical forecasting or prediction models. USAGE: NCCMP(ncfile1,ncfile2) NCCMP(ncfile1,ncfile2,tolerance,forceCompare) INPUT: ncfile1- name of the NetCDF file to compare ncfile2- name of the NetCDF file to compare tolerance- Compare numeric data using a tolerance threshold forceCompare- if false, exit when first difference is found true: continues to process all variables EXAMPLES: nccmp( old.nc , new.nc ,0.000001) nccmp( old.nc , new.nc ,[],true) FEATURES: 1. Print the differences and their locations 2. Exits when first difference is found or optionally continues to process all variables 3. User defined tolerance threshold to compare the variables TO DO: 1. Specific variable inclusion or exclusion 2. Specific attribute inclusion or exclusion 3. Option to ignore the history attribute 4. Ignore difference between v)