MIT

瞬时混合盲信号分离问题的自适应算法比较。 有论文，有程序，自己写的，有输入波形，有输出结果，适合完成学习盲分离。(Instantaneous Blind Signal Separation Mixed Adaptive Algorithm for comparison. A paper, a procedure that he wrote with input waveforms, the results are output for the completion of learning blind source separation.)

雷达系统仿真的总程序，很全面的一个雷达仿真程序，请大家参考(The total radar system simulation program, very comprehensive a radar simulation program, please refer to)

MATLAB风力发电机模型。。小电机模型，可以进行相关修改 (MATLAB wind turbine model. . Small motor model can modify the)

canny算子边缘检测源码，用matlab实现，如果需要，请及时下载(canny edge detection source, using matlab to achieve, if you need, please download)

说明：  主要实现视频图像的运动检测，包含有参考例子(The video of the main motion detection, includes reference examples)

this is the implementation of introduced algorithm(feature selection algorithm for mixed data with both nominal and continuous features,Wenyin Tang & K.Z. Mao)

matlab语言写的图像处理程序，各种滤波方法的程序(image processing programs,:all kinds of filter method program used by Matlab language)

matlab编写的复正弦信号频率估计程序，分别计算Tretter方法、kay、lovell&williamson等方法(matlab write complex sinusoidal signal frequency estimation procedures were calculated the Tretter method, kay lovell & williamson other methods)

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.)

说明：  MATLAB教室人数统计（含界面GUI，详细注释，论文） 运行方式 matlab命令窗口输入guide回车 选择fig文件，选择改变路径 运行即可 可二次开发成教室考勤系统，识别出教室里面的人是谁。(Matlab classroom number statistics (including GUI interface, detailed notes, papers) Operation mode Matlab command window input guide enter Select fig file and change path Can run It can be developed into a classroom attendance system to identify who is in the classroom.)