kdpgvgbe

这是一个用于心电信号处理的工具包，研究心电方面的可用(this is used for ECG)

MATLAB编写的segy格式地震数据读取的程序(MATLAB format prepared segy process seismic data read)

gives the initial and final velocities of a trajectory connecting R0 to Rf over a transfer time of dT. This method uses universal variables, from Vallado.

MATLAB遗传算法工具箱函数应用 有需要学习和了解遗传算法工具箱函数的 看看(MATLAB genetic algorithm toolbox function application)

此程序是关于多重分形维的图像分析源程序 作为子程序可用于图像的去噪，分割(this procedure on multiple fractal dimension of the source image analysis can be used as a subroutine image denoising, segmentation)

IEEE4,14,30,57,118,300标准使用数据(Standard data of IEEE4,14,30,57,118,300)

based on Newton method on load flow program that can help you better electrical system optimization

OFDM 通信系统的几个仿真程序，对多载波的了解会更加深入(OFDM)

This book helps us understand the modal analysis and some methods to identify them through experiments

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.)