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本目录主要包括：文档和两个源代码。 其中一个源代码是识别程序的，另一个是一个矩阵类库的，书里面也使用过，所以一并附上。 因为已经保存了训练好的网络权值，所以第一次使用识别程序时，可以直接运行\Release目录下的可执行文件，然后对图片目录中的测试图片进行读入、识别。 当然读者也可以自行用训练样本训练网络，不过要特别注意训练样本的选择，否则可能造成识别率很低。训练样本选择的原则是，尽可能的有代表性，在训练时间不至于太长的情况下，训练样本数目尽量多。 (This directory includes: documentation and two source code. One of the source code is to identify the procedure, the other is a matrix class library, the book which is also used, so be attached. Have been saved because of the trained network weights, so the first use of identification procedures, he can run Release directory Under the executable file, then the test image directory read pictures, identification. Of course, readers are free to use the training samples to train the network, but pay special attention to training samples, otherwise it may result in knowledge Do not rate very low. Training sample selection principle is that as far as possible, representative, in the long training time Buzhi Yu s case, the training Training sample size as much as possible.)

自己写的 matlab图像处理算法 中值滤波 均值滤波 高斯 腐蚀 还有超绿算法 （农业相关图像处理使用）(Write your own matlab image processing median filter algorithm Gaussian mean filter algorithm corrosion and ultra-green (agriculture-related image processing use))

利用Truetime工具箱进行网络控制系统建模，对比了RM、EDF、MEF-TOD网络调度算法。(Use Truetime toolbox for network control system modeling, compared to the RM, EDF, MEF-TOD network scheduling algorithm.)

Normal distribution шт Matlab

matlab实例程序百例2 matlab实例(Examples of procedures for 100 cases of matlab examples 2matlab)

运筹学专业的同学所需要的专业MATLAB程序，包含目标规划，算法结构，线性规划，遗传算法等等程序。(Majored in operations research expertise needed to program MATLAB, including programming, algorithm structure, linear programming, genetic algorithms, and so program.)

强化学习的Q算法matlab代码。适合寻找最优路径。让您对q算法一定有直观的理解！(A matlab program about Q of Reinforcement Learning Algorithm )

应用KNN算法解决0到9的手写数字识别问题，效果在90 以上，内部有两个数据集，一个为训练集（7291个数据），一个为测试数据（2791个数据），程序采用MATLAB编写，另附有文档，程序简洁易懂(Application KNN algorithm to solve 0-9 handwritten digit recognition problem, the effect is more than 90 , the inside has two data sets, one for the training set (7291 data), a test data (2791 data), the program written using MATLAB , attached a document, the program is simple and easy to understand)

LTE-A . AN OVERVIEW AND CHALLENGES

The interference alignment (IA) is a promising technique to efficiently mitigate interference and to enhance capacity of a wireless communication network. This paper proposes an interference alignment scheme for a network with multiple cells and multiple multiple-input and multiple output(MIMO) users under a Gaussian interference broadcast channel (IFBC) scenario.