short_road

说明：  介绍了利用Matrix VB插件实现从VB中调用MATLAB函数的具体方法，利用该方法，可大大提高 VB程序的计算和绘图能力，增强用户开发人机界面友好的计算程序的能力(Introduced the use of Matrix VB plug-in implementation to call MATLAB functions from VB specific method, this method can greatly improve the VB procedure of calculation and graphics to enhance the user friendly interface developed the capacity calculation program)

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.)

SPEAKER RECOGNITION MELBANK

RF APPLICATIONS AND THEORY

SVM算法在 matlab实现, 包含说明书，源代码等(SVM experiment on matlab)

直方图均衡：原始图的直方图变换为均匀分布的形式，这样就增加了象素灰度值的动态范围从而达到增强对比度的效果 中值滤波：中值滤波属于非线性平滑滤波器，它可以消除噪声又能保护图象的细节(histogram equalization : the original plan to transform the histogram in the form of uniform distribution. This will increase the value of the pixel gray areas so as to achieve dynamic contrast enhanced effect of filtering : Median filter is nonlinear smoothing filter, it can eliminate noise while preserving image details)

这是一款非常优秀的matlab开发的支持向量量机程序源码，对分类效果非常好。 可直接使用。 (This is a very good amount of support vector machine program source code of matlab development, very good classification results. Can be used directly.)

此为遗传算法的工具书，有很多值得借鉴的例子哦(This genetic algorithm tool, there is a lot to learn from the example )

双机器人协调路径规划，局部路径使用蚁群算法，全局路径使用粒子群算法(Double coordinate path planning and local path using ant colony algorithm, the global path using the particle swarm optimization)

Generates the coordinates necessary for plotting an automatically sized 2D spring