SIMULINK

该代码是书籍源码，是matlab的书的源代码，里面是算法实例，(The source code is the book, the book is the matlab source code, which is the algorithm instance,)

histogram programs of image in matlab

Sparse Recovery Experiments with Sparse Matrices

说明：  包含两个灰色预测模型的MATLAB代码实现。1.灰色预测GM（1，1）模型。2.改变初始条件，以1-AGO序列的最后一个数据为初始条件的灰色预测模型。(Contains two gray prediction model matlab code. 1. Grey Prediction GM (1,1) model. 2. Change the initial condition, take the last data of 1-AGO series as the initial condition of grey prediction model.)

Product table for numbers in matlab

Music算法程序，可以直接完美实现。亲测好用(Music algorithm)

matlab实现的2类、3类、4类、5类cmeans算法(matlab implementation of Class 2, Category 3, Category 4, Category 5 cmeans algorithm)

This contains the full set of source files for the MatClass library together with a make file to create the libraries using Microsoft C/C++ v7 or later. This make file is a stand-alone file to be used with NMAKE or as a NON-PWB makefile in PWB. Note the make file generates uses the Large Memory model. It generates a library file called LIBMAT.LIB.

基于MIT律的MRAC,根据MIT自适应律编写的模型参考自适应程序，适用于初学者对自适应控制的理解与应用(MIT-based law MRAC)

this file is an imlementation of PII scheme of PAPR reduction for MCMs Scheme