Histogram_Equalization

电动执行机构是连接控制器与执行器(阀门)的部件，从控制出来的是离散信号，经零阶保持器后成为一个方波 信号，值都是阶跃跳动，而阀门的实际工作是有一定的行程时间的，即实际上阀门是不可能实现阶跃跳动的，故此需要一个电动执行器，将控制器的阶跃信号变为连续变化信号，假定阀门的行程时间与阀门开度变化成正比。(Electric Actuator is connected controller and actuator (valve) parts, from the control out of the discrete signal by zero-order cage became a square wave signal, values are step-beating, but the actual work of the valve there is a certain amount of travel time, that is, in fact the valve can not be achieved step beat, and therefore need an electric actuator, the controller of the step change in the signal into a continuous signal, assuming that the valve and the valve travel time changes in direct proportion to the door opening.)

A Variable-Speed Sensorless Drive System for Switched Reluctance Motors

matlab常用函数大全，初学者必学，很多基础的函数(matlab common function Guinness, beginners will learn many basic functions)

matlab7.X学习课件，希望对大家有帮助！！(matlab7.X learning courseware, we want to help! !)

《脑动力：MATLAB函数功能速查效率手册》 光盘源码上。1~6章( Brain Power: MATLAB function Quick Guide CD Matlab-code 1.Chapter 1~6)

Matlab经典的ICP点云配准算法，内部包含三个例子，亲测可用。(Matlab classic ICP point cloud registration algorithm. There are three examples in the Zip file. I have texted that it can be used successfully.)

自适应外差滤波器matlab代码：采用调制技术，控制正余弦信号对准干扰的频率，将输入的干扰搬移到的低频进行滤波，滤波处理后的信号再经过一次调制搬移到原来的频率位置，这样我们就得到了合适的干扰复制信号，再将输入信号和干扰复制信号进行差分运算达到抑制干扰的目的(Adaptive heterodyne filter matlab code)

说明：  几个网络的生成程序度，度分布，聚类数 (some net matlab show，degree degreedistrict)

这是用matlab实现的无约束优化方法 牛顿法 的程序(Unconstrained optimization method Newton method )

为判断聚类结果质量的好坏，需要一个客观的评价指标来评价聚类结果的合理性。聚类性能评价方法通常分为三种：外部评价法，内部评价法，相对评价法。外部评价法将聚类结果得到类标签和已知类标签进行比较，此评价法的前提是数据集样本的类标签已知(In order to judge the quality of clustering results, good or bad, the need for an objective evaluation to assess the reasonableness of the clustering results. Clustering performance evaluation method is usually divided into three types: external evaluation method, internal evaluation method, relative evaluation method. External evaluation method of clustering results to obtain class labels and the known class labels are compared, the premise of this evaluation method is a class label known sample of the data set)