ConvertToBinary

移动无线信道COS207模型MATLAB程序，对做信道仿真的朋友有参考价值(Mobile radio channel model MATLAB COS207 procedures, channel simulation of a friend doing a valuable reference)

该程序是关于mimo系统中的信道容量的MATLAB程序(The program is a MIMO system channel capacity MATLAB program)

说明：  采用栅格对机器人的工作空间进行划分，再利用优化算法对机器人路径优化，是采用智能算法求最优路径的一个经典问题。目前，采用蚁群算法在栅格地图上进行路径优化取得比较好的效果，而利用遗传算法在栅格地图上进行路径优化在算法显得更加难以实现。 利用遗传算法处理栅格地图的机器人路径规划的难点主要包括：1保证路径不间断，2保证路径不穿过障碍。 用遗传算法解决优化问题时的步骤是固定的，就是种群初始化，选择，交叉，变异，适应度计算这样，那么下面我就说一下遗传算法求栅格地图中机器人路径规划在每个步骤的问题、难点以及解决办法。(It is a classical problem to divide the workspace of the robot by grids and optimize the path of the robot by using optimization algorithm. At present, the ant colony algorithm is used to optimize the path on the grid map, and the genetic algorithm is used to optimize the path on the grid map, which is more difficult to achieve. The difficulties of using genetic algorithm to deal with the path planning of robot on raster map mainly include: 1. guaranteeing that the path is uninterrupted, 2. guaranteeing that the path does not cross obstacles. The steps of genetic algorithm in solving optimization problems are fixed, that is, population initialization, selection, crossover, mutation, fitness calculation. Then I will talk about the problems, difficulties and solutions of genetic algorithm in each step of robot path planning in raster map.)

cross-validaton procedure svm(crossvalidatonprocedure)

Regression test for 196109.

直流电动机的所有相关例程的MATLAB/simulink仿真实例，对大家学习直流电动机有很大的帮助。(Dc motor all related routines of MATLAB/simulink simulation examples, is of great help for everybody to learn dc motor. )

一个很好的通用虚拟示波器，基于vc编写的，非常好用(A good general purpose virtual oscilloscope, based on the vc prepared, very easy to use)

采用数据拟合法进行的高斯白噪声信道下的信噪比估计，程序中有经典summer法以及本人自己拟合的二阶和三阶参数，适用于不同的信噪比范围，望大家一起交流(By data fitting of the Gauss white noise channel SNR estimation, the program in the classic summer method as well as my own fitting of the two order and three order parameters, applicable to different SNR range, hope everybody exchanges together)

对图像进行逐点计算，并且取最大值和最小值的差值作为该点新的灰度值。 在区别边缘点和非边缘点时，首先确定一个阈值T，若图像中像素点的新 值大于该门限值，则可以初步确定为边缘点，小于T的新值被判断为非边缘点.(Image point by point basis, and taking the maximum and minimum points of difference as the new gray value. Edge in the difference between point and non-edge point, first determine a threshold T, if the image of the new pixel value is greater than the threshold, you can initially identified as the edge point, the new value is less than T have been judged as non-edge point.)

对森林生态系统的动力学仿真很有用的东西值得大家学习学习(On the forest ecosystem dynamics simulation is useful to learn something worth learning)