power_dstatcom_pwm

说明：  这个是用matlab实现dvhop非基于测距的算法仿真(This is achieved using matlab dvhop simulation algorithms are not based on distance)

一种基于统一模型的盲信号分离matlab源代码，三路语音信号盲分离源程序(A unifying model for blind separation of independent sources)

多点定位TDOA的chan算法,和坐标转换，经纬度转换成平面直角坐标系(chan algorism altitude longtitude xy coordinates)

说明：  数字时钟的代码非常有创意，大家可以下载试试看看，不错喔(Digital clock code very creative，You can download to try to see, oh well )

说明：  动态规划的matlab程序，经调试可以运行(Dynamic planning matlab, the debugging can run )

navigation.rar包含5个有用的导航程序； navigation.m为纯惯导解算程序； integrated_navigation为组合导航程序； KalmanAlign10.m为卡尔曼滤波对准程序； create_data.m为原始数据创建程序； ssm.m为结果显示程序(navigation.rar contains five useful navigation program navigation.m pure INS solver KalmanAlign10.m for the Kalman filter alignment procedures create_data.m create a program for the original data integrated_navigation for integrated navigation procedures ssm. m is the result display program)

说明：  决策树(Decision Tree）是在已知各种情况发生概率的基础上，通过构成决策树来求取净现值的期望值大于等于零的概率，评价项目风险，判断其可行性的决策分析方法，是直观运用概率分析的一种图解法。由于这种决策分支画成图形很像一棵树的枝干，故称决策树。在机器学习中，决策树是一个预测模型，他代表的是对象属性与对象值之间的一种映射关系。Entropy = 系统的凌乱程度，使用算法ID3, C4.5和C5.0生成树算法使用熵。这一度量是基于信息学理论中熵的概念。 决策树是一种树形结构，其中每个内部节点表示一个属性上的测试，每个分支代表一个测试输出，每个叶节点代表一种类别。 分类树（决策树）是一种十分常用的分类方法。它是一种监督学习，所谓监督学习就是给定一堆样本，每个样本都有一组属性和一个类别，这些类别是事先确定的，那么通过学习得到一个分类器，这个分类器能够对新出现的对象给出正确的分类。这样的机器学习就被称之为监督学习。(Decision tree is a decision analysis method based on the known probability of occurrence of various situations, which can calculate the probability that the expected value of net present value is greater than or equal to zero, evaluate the project risk and judge its feasibility by constructing a decision tree. It is a graphic method of intuitively using probability analysis. Because this kind of decision branch is drawn as a graph, it is very similar to the branch of a tree, so it is called decision tree. In machine learning, decision tree is a prediction model, which represents a mapping relationship between object attributes and object values. Entropy = the disorder degree of the system, using algorithms ID3, C4.5 and C5.0, spanning tree algorithm using entropy. This measure is based on the concept of entropy in information theory.)

用matlab实现MP算法进行信号重构，有详细的注释(MP algorithm using matlab to achieve signal reconstruction, detailed notes)

改进型的蚁群算法，能够快速求解多目标规划(Improved ant colony algorithm, fast multi-objective planning)

修改版的matlab画K线的程序，实现了涨为红色，跌为绿色(Modified version of the matlab draw K-line procedures, the rose is red, or green )