SoftFocus

enfrmae函数,可以用于对语音信号进行处理前的分帧(enfrmae function can be used to process the speech signal prior to framing)

说明：  介绍了用硬件实现调制宽带转换器的方法，以及用Matlab实现仿真验证的方法，对于了解调制宽带转换器系统有很大帮助(Modulated wideband converter with hardware, and simulation with Matlab, a great help for understanding modulated wideband converter system)

Electromagnetic Simulation using FDTD Sullivan书中的二维时域有限差分matlab程序(Dimensional FDTD matlab program! Dimensional FDTD Electromagnetic Simulation using FDTD Sullivan book)

说明：  EM算法，最大期望值算法，用MATLAB程序来编程(EM algorithm, expectation maximization algorithm using MATLAB program to program)

气象研究用的小程序，希望能给大家提供一定的帮助(matlab)

说明：  潮流计算，电力系统潮流计算。从已知节点数据计算牛顿潮流(Power flow, power system flow calculation. Newton calculated from the known trend of the data node)

基于BP神经网络的供应链绩效评价方法 论文 及其 MATLAB 实现(Based on BP neural network of supply chain performance evaluation method of the papers and MATLAB to achieve)

讨论HHT代码的精华，讨论HHT代码的精华(the description and solution of hht)

RS码的matlab函数 非常有帮助的东西(Matlab simulation of RS code Very helpful stuff)

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.)