u_pcm

说明：  matlab实用教程，包括很多源代码，都是一些基础知识，(matlab Practical Guide, including a lot of source code, are the basis of knowledge,)

利用MATLAB实现Floyd算法，可对输入的邻接距离矩阵计算图中任意两点间的最短距离矩阵和路由矩阵，且能查询任意两点间的最短距离和路由。(Floyd algorithm using MATLAB realize, can be routed to the shortest distance adjacency matrix and the distance matrix calculation map between any two points in the input matrix, and can query the shortest distance and route between any two points.)

matlab下旋转坐标（label），使它能够以一定的角度显示(rotate tick label)

说明：  假如数据中有N 个变量，而我们想抽取的样本的数量是M,那么在对数据进行抽样的时候，这种方法首先会把N个变量的设计空间均匀的划分开为M份，然后在每个划分好的区域中随机的抽取一点，最后，从这M个变量里，随机挑选之前选好的点，构成我们的样本(If there are n variables in the data, and the number of samples we want to extract is m, then when sampling the data, this method will first divide the design space of n variables into M parts evenly, and then randomly extract a point in each divided area. Finally, from the m variables, randomly select the previously selected points to form our sample)

PCA ICA and LDA for Face-Recognition this document helps you understand the main idea in PCA ICA and LDA algorithms and their differences

使用waterfilling 和 equal power进行power allocation(use waterfilling method & equal power to allocate power)

单相光伏并网逆变系统的Matlab建模，MPPT的扰动观察法，亲测可用(MPPT model)

signature and voice recognition

根据潜在震源区数据，利用matlab画第五代潜在震源区图，并在鼠标点击位置编号(According to the potential source area data, using matlab draw fifth-generation potential source area map and click on the mouse position number)

说明：  关于预测控制的MATLAB-s-function模块编写。 网络化控制系统是一种通过网络实现传感器，控制器和执行器之间数据交换的分布式实时反馈控制系统。其应用领域广泛，包括过程工业，航天工程，运输管理，机器控制，远程手术，智能家居等。具有长距离数据交换与共享，成本低, 便于安装和维护，高灵活性和可靠性，易于重配置及高移动性等优势。同时，由网络化控制系统引起的网络诱导时延和其共享、开放、可进入等特点对系统稳定性和安全性造成的影响也不可忽略。故本文设计了一种网络化预测输出跟踪控制系统以解决网络时延问题，并站在安全的角度研究虚假数据注入攻击问题(MATLAB-s-function.Networked control system is a distributed real-time feedback control system that realizes data exchange among sensors, controllers and actuators through network. Its applications range is wide, including process industries, aerospace engineering, transportation management, machine control, remote surgery and smart homes.)