SISOOFDM

：给出了一种提取特征点的新方法和合理的特征不变量。该方法根据三角不等式原理利用第三边与另 外两边之和的比值大小来确定角点，以特征点和它相邻的两个特征点所形成的两条直线的夹角正切值以及三角形 第三边与另两边和的比值作为特征不变量。这种特征提取的方法简单，并且由于扩大了模板取值范围，使识别效果受特征点漏检的影响较小。实验表明，该方法不仅简便，而且效果良好。(: In this paper, a new feature point extraction method and the characteristics of rational invariants. The method is based on the principle of triangle inequality with the use of the third side and both sides of the ratio of the size to determine the Corner to feature point and its two adjacent feature points formed by the angle between two tangent linear and the third triangle on both sides and edges with another feature of the ratio as a variable. This feature extraction method is simple, and as a result of the expansion of the scope of the template values to identify the effect of feature points by the impact of smaller undetected. Experiments show that the method is not only simple, but effective.)

自己编写的一种快速均值漂移聚类算法。数据需要自己下载，里面有main函数,改成自己的数据就可以运行。主要思路是先用近邻规则粗分类，在运行均值漂移。(fast mean shif clustering algorithm.)

说明：  This function solves the mixed integer linear programming problems. It uses the linprog.m function that comes with the optimization toolbox of MATLAB. It employs the branch and bound algorithm. It uses depth first search.

implementation of classification based on least square error method in MATLAB environment.

基于最简单的直接转矩控制的matlab程序框图，经试验，完全可以正常运转(Based on the most simple and direct torque control matlab block diagram, the test, can operate normally)

结合混沌搜索的进化算法，利用logistic混沌映射与进化算法的结合解决问题(Logistic chaotic improvements)

波形的峰值检测程序，能检测波形各个点的峰值(Waveform peak detection program, can detect the peak point of the waveform )

说明：  谱估计的MUSIC算法，里面有详细的介绍，对做谱估计的同学应该有帮助。(The MUSIC spectral estimation algorithm, there are detailed introduction to the spectral estimation of the students do should be helpful.)

说明：  通过电压负反馈与电流负反馈做成双闭环反馈，控制PWM实现单相逆变器(Single phase voltage and current feeback pwm inverter)

说明：  MATLAB里面有LMS算法的程序，下面是我自己编写的LMS算法程序，供交流。(MATLAB there are procedures for LMS algorithm, the following is my own procedures for the preparation of the LMS algorithm for the exchange.)