SMC

matlab通信仿真与应用(详细),是一套比较好的关于通信仿真书籍(matlab simulation and application of communication (in detail), is a relatively good simulation of books on communication)

说明：  matlab代码：计算混淆矩阵，查准率/查全率，ROC,F-measure，准确率等(Matlab code for computing and visualization: Confusion Matrix, Precision/Recall, ROC, Accuracy, F-Measure etc. for Classification)

DETECTING FEATURES OF AN IMAGE

病态线性方程组的计算题，涉及Gauss消元法、雅可比迭代法、高斯-赛德尔迭代法、最速下降法和共轭梯度法。每一个方法，都编写一个m文件，封装成函数的形式。然后通过总的HilbLineEquSet.m文件来调用执行，画出误差曲线图，得到运行结果。总的Matlab程序流程，如下所示： 病态方程组的计算包括：HilbLineEquSet.m、gauss.m、jacobi.m、gauss_seidel.m、fastest_descend.m和conjugated_grad.m六个文件。 程序执行结果包括：求解结果、迭代次数、迭代误差数据、误差曲线图等。 (Morbid Linear Equations calculation problems involving Gauss elimination method, Jacobi' s iterative method, Gauss- Seidel iterative method, steepest descent method and conjugate gradient method. Each method, all the preparation of an m file, packaged in the form of a function. Then the total HilbLineEquSet.m file to invoke the implementation of draw error curve, to be running results. General Matlab program flow, as follows: the calculation of morbid equations include: HilbLineEquSet.m, gauss.m, jacobi.m, gauss_seidel.m, fastest_descend.m and conjugated_grad.m six documents. Procedures for implementation of the findings include: solving a result, the number of iterations, iterative error data, error curve and so on.)

MATLAB函数大全，可以很快的找到所需函数及其功能(MATLAB function Guinness, you can quickly find the required function and its function)

MATLAB 图像处理命令，在二进制图像中利用 lookup 表进行边沿操作(MATLAB image processing orders, in a binary image using the lookup table by using the edge operator )

说明：  基于粒子群算法的配网重构策略，主要解决系统网损，电压偏移量，三相不平衡。(distributed neetwork)

这是用Matlab语言进行开发设计的，主要用对于自然灾害的检测，比如里面提到的对泥石流摧毁的道路进行检测。(This is carried out using Matlab language development and design, and is mainly used for the detection of natural disasters such as landslides which destroyed on that road for testing.)

matlab从零到进阶的程序文件,按章节分类(matlab from zero to advanced program files)

基于改进的matlab工具箱，主要用于遗传算法(Matlab toolbox based on an improved, mainly for genetic algorithm)