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这是一个contourlet工具箱，用来对contourlet变换进行了解和应用(Contourlet toolbox: a MATLAB toolbox for computing the contourlet transform and its applications. The contourlet transform is described in: The contourlet transform: an efficient directional multiresolution image representation, Minh N. Do and Martin Vetterli, IEEE Transactions on Image Processing, December 2005)

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.)

a Matlab program of Romberg Algorithm calculate

TrustManagerFactory service provider interface implementation.

含风电场的电力系统的动态经济调度程序，实用性强(dynamic economic dispatch in wind power intergrated system)

潮流计算三种方法代码大合集,牛顿拉夫逊，高斯法，pq法(matlab,Large set of codes for power flow calculation, Newton Raphson, Gauss method, pq method)

this is a m.faile of matlab for detection work

simulink环境下的永磁同步电机的位置环控制，速度曲线为梯形曲线。(simulink environment of permanent magnet synchronous motor position loop control, the speed curve is a trapezoid curve.)

study of data structure implementation using c

边缘预测提出了一种基于预测的、有一定自适应性的边缘检测方法。介绍了其原理和算法实现过程。通过计算两个相邻像素的灰度值的均值、均方差和梯度来预测下一个像素的灰度值,比较预测值和真实值来判断下一个像素是否是边界点。通过与现有同类算法的比较,证明了该算法的优越性(A predictive and adaptive edge detection method is proposed. The principle and implementation process of the algorithm are introduced. The gray value of the next pixel is predicted by calculating the mean, mean square deviation and gradient of the gray value of the two adjacent pixels. The prediction value and the real value are compared to determine whether the next pixel is a boundary point. The superiority of this algorithm is proved by comparing with the existing similar algorithms.)