extract_yellow_region

分割算法 1.mean shift 的迭代过程只做了一次（为了简单） 2.对图像中的某一点进行平移时，只考虑了距离它小于2*hr的点，而不是图像中所有的 点。 3.实验过程中只用到了gauss核，虽然提供了method的选择，但在进行值域加权时只用 到gauss核，如果需要请自己改正。(mean shift algorithm )

有关风机模拟的psm矢量控制内容，有关的人可以参考(Psm simulation on the fan the contents of vector control, the person can refer to)

简单的Turbo码的编程，可以为Turbo码的研究提供参考(This is a simply program of Turbo code which can be used for some further researches.)

说明：  用于说明程序如何可以用于一个点目标的相控阵扫描(to show how the procedures can be used for making a phased array scan of a point target)

Control of stepper motor using matlab.

聚类算法，不是分类算法。分类算法是给一个数据，然后判断这个数据属于已分好的类中的具体哪一类。聚类算法是给一大堆原始数据，然后通过算法将其中具有相似特征的数据聚为一类。这里的k-means聚类，是事先给出原始数据所含的类数，然后将含有相似特征的数据聚为一个类中。所有资料中还是Andrew Ng介绍的明白。首先给出原始数据{x1,x2,...,xn}，这些数据没有被标记的。初始化k个随机数据u1,u2,...,uk。这些xn和uk都是向量。根据下面两个公式迭代就能求出最终所有的u,这些u就是最终所有类的中心位置。(Clustering algorithm, not a classification algorithm. Classification algorithm is to give a figure, and then determine the data belonging to a specific class of good which category. Clustering algorithm is to give a lot of raw data, and then through the algorithm which has similar characteristics data together as a class. Here k-means clustering, is given in advance the number of classes contained in the raw data, then the data contain similar characteristics together as a class. All information presented in or Andrew Ng understand. Firstly, raw data {x1, x2, ..., xn}, the data is not labeled. K random initialization data u1, u2, ..., uk. These are the vectors xn and uk. According to the following two formulas can be obtained final iteration all u, u is the ultimate all these classes the center position.)

实现图像灰度及黑白度转换,主要在matlab 环境下使用，具有很好的实用意义。(Gray and black and white image conversion degrees, mainly in the matlab environment, with good practical significance.)

该程序通过感知器实现布尔逻辑运算，具体实现与或还有异或的运算(The program through the sensor to achieve Boolean logic operations)

自动控制原理的课程设计，包含有根轨迹分析、时域分析、频域分析、控制系统设计及校正的matlab程序设计及仿真实例。(Automatic Control Theory of curriculum design, contains a root locus analysis, time-domain analysis, frequency domain analysis, control system design and calibration procedures for the design and the matlab simulation.)

buck-boost的Matlabsimulink仿真(Matlabsimulink simulation of the buck-boost)