EM

计算图像的灰度共生矩阵，并且提取图像的纹理特征(Computing image s GLCM and extracting texture characteristics )

It s about connection of matlab and abaqus

车牌识别Matlab程序，可直接运行，内含实验原理报告和源程序！(License Plate Recognition Matlab program can be run directly, the report contains the experimental principle and the source!)

matlab图像处理与识别当中分类识别时的数据归一化处理(matlab image processing data classification and recognition among the normalization process when)

通过PID技术，可以实现在各种扰动下的风电变桨。可以有效的弃风。(Through the PID technology, can realize the wind power is analyzed.studying under various disturbances. To abandon the wind.)

distance code in matlab for mashin vision

IEEE有关脏纸编码（DPC）的最新文章。(IEEE the dirty paper coding (DPC) of the latest articles.)

在matlab中实现直方图均衡化操作及直方图匹配操作，自编代码实现运算(Histogram equalization and histogram match.)

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.)

关于MATLAB的一个很好的PPT。讲的是符号运算。对于初学者很好。页面也很漂亮。(MATLAB on a good PPT. Talking about the symbolic operation. Good for beginners. Page is also very beautiful.)