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Matlab中没有现成的Hermite插值函数，必须编写一个M文件实现插值。 设n个节点的数据以数组x0 （已知点的横坐标）， y0（函数值）， y1（导数值）输入（注意Matlat的数组下标从1开始）， m个插值点以数组x 输入，输出数组y 为m 个插值。编写一个名为hermite.m的M文件。 (Matlab is not off-the-shelf Hermite interpolation function, we must realize the preparation of a document M interpolation. N nodes for the data to an array x0 (known point of abscissa), y0 (function value), y1 (numerical derivative) input (note the subscript Matlat array starting at 1), m to the array of interpolation points x input and output array y for m months interpolation. Hermite.m the preparation of a M-file.)

考虑了基站通过多个中继与多个用户的问题，基于背包问题提出了最优功率分配。(the optimal power allocation is presented based on knapsack problem for a system with a base station communication with multiple users assisted by multiple relay.)

DOCUMENT FOR BASIC LEARNING OF COMMUNICATION IN VARIOUS ASPECTS.

matlab做的wigner变换的应用程序，可以实现对信号的处理。(wigner transform matlab to do the application, and can implement signal processing.)

该程序用Dijkstra算法寻找最小路径。输入为起点，终点，邻接矩阵。输出为最短距离，最短距离对应的路程。代码有详细注释说明。(The procedure used Dijkstra algorithm to find the minimum path. Enter as a starting point, end point adjacency matrix. The output is the shortest distance, shortest distance corresponds to the distance. Codes are detailed explanatory notes.)

说明：  MATLAB code for simple edge detection algorithms including simple mask, sobel mask, Gaussian derivatives.

matlab par velocidad motores cd shunt serie compuesto

This Embedded MATLAB Function implements an extended Kalman filter used to estimate the states, road surface and mass of a quarter car model.

Delta机器人工作空间，用MATLAB做的，3D模型，可以参考了看看，国外专家做的(Delta robot workspace, MATLAB do, 3D models, you can refer to the look, foreign experts do)

通过这一算法可以实现二维平面内无人机的路径规划。在该平面内存在已知的障碍，势场法通过给终点添加引力，对障碍增加斥力，使得无人机能够顺利的避障并到达终点。通过对传统势场法的改进，避免了无人机容易陷入极值的问题，使搜索更易实现。(Through this algorithm, the path planning of the UAV in the two-dimensional plane can be realized. There are known obstacles in the plane. The potential field method adds gravity to the terminal to increase the repulsion for obstacles, so that the UAV can avoid obstacles and reach the terminal smoothly. Through the improvement of the traditional potential field method, it avoids the problem that the UAV is easily trapped in the extreme value and makes the search more easy to be realized.)