easy

基于MATLAB的matrix_gain详解，主要解决的是matrix_gain的问题(Based on MATLAB-matrix_gain explain, the main problem lies in the question of matrix_gain)

用于实现灰关联的程序，灰关联是对于两个系统之间的因素，其随时间或不同对象而变化的关联性大小的量度。(For achieving gray associated procedures, gray correlation factors between the two systems, the correlation measure of the size of the change time or different objects.)

说明：  模拟退火算法，解决旅行最短路径问题，matlab程序(Simulated annealing algorithm to solve traveling the shortest path problem, matlab program)

4th generation long term evolution based on 3rd generation partnership program

DTW算法的程序，申请两个n*m的矩阵D、d,分别为累积距离和帧匹配距离。这里n和m为测试模版与参考模版的帧数。然后通过一个循环计算两个模版的帧匹配距离d。接下来进行动态规划，为每个格点 （i，j）都计算其三个可能的前续格点的累积距离D1，D2，D3。考虑到边界问题，有些前续格点可能不存在，因此加入一些判断条件最后利用最小值函数min()，找到三个前续格点的累积 距离作为累积距离，与当前帧的匹配距离d（i，j）相加，作为当前格点的累积距离。该计算过程一直达到格点（n，m），并将D（n，m）输出，作为模版匹配的结果。(DTW algorithm procedures, apply two n* m matrix D, d, respectively, accumulated distance and frame matching distance. Where n and m is a reference test pattern and the template frames. Then through a loop to calculate two frames template matching distance d. Next, dynamic programming, for each grid point (i, j) are calculated from the cumulative D1 before the renewal of its three possible lattice point, D2, D3. Taking into account the boundary problem, some former continued grid point may not exist, so add some conditions to determine the final use of the minimum function min (), found three former continued accumulation of grid points cumulative distance as the distance from the current frame to match the d (i, j) added, and a current cumulative distance grid. This calculation has reached the grid (n, m), and D (n, m) output, as a result of template matching.)

先进PID控制及其MATLAB仿真程序的第一部分(Advanced PID control and its MATLAB simulation program the first part of)

使用matlab编写的一个m文件，主要是计算图像的信息熵(Matlab use m the preparation of a document, the main image is the calculation of information entropy)

有关MATLAB软件的超详细介绍 适合初学者(For details of MATLAB software for beginners super)

大多数经典聚类分析算法的matlab实现，包括K均值、模糊聚类（FCM）、SOM、Kohonen、EM、DBSCAN、等！(ON划词翻译ON实时翻译 Most of the classical clustering algorithm matlab implementation, including K means, fuzzy clustering (FCM), SOM, Kohonen, EM, DBSCAN, etc.!)

matlab中tic与toc函数联合进度条使用例子(tic toc function matlab in combination with the use of examples progress bar)