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这个是TMS320F2812的DSP直流电机驱动程序，对c2000 DSP初学者有很大的帮助！(This is the TMS320F2812 DC motor driver for the DSP, the c2000 DSP beginners great help!)

主成分回归，可以提出自变量的影响。用MATLAB编写，运行通过。(Principal component regression, we can make the impact of independent variables. Using MATLAB, run through.)

有关matlab的入门教程，对于初学者有很大的帮助，这是我刚入门时候用的一个教程(On matlab tutorial for beginners there is a lot of help, this is when I just started with a tutorial)

分支定界，找出最优解，此编程是以六个特征为例进行编程的。(Branch and bound, to find the optimal solution, this program is based on six characteristics of the program as an example.)

说明：  Rilling的关于Rilling的关于HHT端点延拓的代码HHT端点延拓的代码(Rilling Rilling on HHT endpoint extension on the code the code HHT endpoint extension)

一种正则化正交匹配追踪ROMP算法的matlab源程序，一个函数，方便使用(A New Regularized Orthogonal Matching Pursuit ROMP algorithm matlab source, a function, easy to use)

match filter matlab code digital comunication

K最邻近密度估计技术是一种分类方法，不是聚类方法。 不是最优方法，实践中比较流行。 通俗但不一定易懂的规则是： 1.计算待分类数据和不同类中每一个数据的距离（欧氏或马氏）。 2.选出最小的前K数据个距离，这里用到选择排序法。 3.对比这前K个距离，找出K个数据中包含最多的是那个类的数据，即为待分类数据所在的类。(K nearest neighbor density estimation is a classification method, not a clustering method. It is not the best method, but it is popular in practice. Popular but not necessarily understandable rule is: 1. calculate the distance between the data to be classified and the data in each other (Euclidean or Markov). 2. select the minimum distance from the previous K data, where the choice sorting method is used. 3. compare the previous K distances to find out which K data contains the most data of that class, that is, the class to which the data to be classified is located.)

动态实现循环码的译码！！ 只要求输入信息序列！(Dynamic implementation of cyclic codes decoding! ! Only requires input information sequence!)

All of a three-phase inverter bridge circuit simulation The circuit is simulated in a full-bridge inverter three phase IGBT is offered with a six and six diode.