matlabpicture

MA 在迁移的过程中，动态决定节点是否需要进行数据融合 运算，以进一步降低MA 的能量消耗。(MA in the course of migration, determine the need for data fusion node operators to further reduce the energy consumption of MA.)

说明：  ECG心电信号预处理，高通滤波器，滤除呼吸基线漂移，带阻滤波器，滤除工频干扰，并两组滤波器的处理速度进行比较(ECG signal preprocessing, high-pass filter, filter respiratory baseline drift, band stop filter, filter frequency interference, and two filters to compare the processing speed)

codigo golden programa

Matlab有关于天线结构设计的源代码分析，适用于RF的天线设计工程师(Matlab about the antenna structure design source code analysis for RF antenna design engineer)

完成NOMA仿真分析，通过仿真确定自己的优化变量，进行性能分析(Completion of NOMA simulation analysis)

GPIF的详细介绍啊，里面有一些使用的例子。很不错的文档资料(A detailed description of GPIF ah, there are some use examples. Very good documentation)

说明：  matlab粗糙集属性约简程序，含详细注释(matlab rough set attribute reduction process, with detailed notes)

说明：  mit的matlab教程，简单实用，都工科大学生有借鉴作用(mit of matlab tutorials, simple and practical, all engineering students have a reference)

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.)

一个关于MATLAB GUI设计的文档。文档言简意赅的介绍了GUI设计的基础以及小技巧。适合初学者学习。(A MATLAB GUI design documents. Document concise introduction to the GUI design as well as tips. Suitable for beginners to learn.)