Attitude-Control-of-an-Underwater-Vehicle-Subject

利用matlab进行频域低通和带通滤波,效果不错(Frequency domain using matlab low-pass and band-pass filtering)

元胞自动机的STNS双车道模型，用于仿真道路交通流(Cellular automata STNS two-lane model for simulation of traffic flow)

在某一网络拓扑结构中,检验是否使每一个节点都保持连通状态,在电网规划中有重要作用(In a network topology, the test is to enable each node to maintain connectivity of a state, in the grid plays an important role in planning)

说明：  某离散系统的差分方程描述及该系统的传递函数描述及MATLAB仿真(A discrete system of difference equation and transfer function of the system description and MATLAB simulation)

说明：  it is a very good way to use matlab simulink for analysis of control systems in nature

说明：  一个利用MATLAB编程进行解方程的经典程序，希望能对大家有帮助。(A MATLAB program for solving equations using the classic procedure, hoping to be helpful.)

不适用任何库函数，自己用matlab编写的直方图均衡化，可以看到结果图片(realize the Histogram Equalization without extant function)

是一个主成份分析的初学文章写的很好的可以学习很多东西(Principal component analysis is an article written by the beginner can learn a lot of good things)

mmvn_toolkit matlab下多元高斯混合模型工具-具有产生、测试、查看功能(complete toolkit for generating, training, testing and viewing multidimensional gaussian mixtures)

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.)