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signal_analyzer
用Matlab来进行信号分析。源码及说明都有。(Carried out using Matlab signal analysis. Both source and description.)
- 2009-10-09 12:09:33下载
- 积分：1
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erzhitu
求二值图的算法园程序，在指定的目录下输入图像名称，就可以在Matlab的M文件中运行得到图像的二值图，并输入图像对应的矩阵。根据轮廓下可以生成一个二值图，并把它的图像输出。(Figure 2 value seeking algorithms garden program, in the specified directory name of the input image, we can run Matlab M-file to be binary image map and the input image corresponds to the matrix. Contour may be generated according to a binary image, and to its image output.)
- 2009-12-17 21:07:37下载
- 积分：1
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MATLAB_image_process
matlab图形图像书籍，对刚入门使用Matlab处理图像的同学帮助很大。(matlab graphics image books, great help to students who just started to use Matlab to process images.)
- 2013-03-04 15:06:12下载
- 积分：1
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M_files_chap01
This the source code for the first chapter where you can try to understand
- 2013-04-08 04:14:20下载
- 积分：1
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saccade
eye saccade control system simulink model
- 2010-10-20 15:22:14下载
- 积分：1
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tououyingjuzhen
投影重建中一种据算投影矩阵的方法，用于代数迭代重建中(According to calculate a projection reconstruction projection matrix method Used for algebra iterative reconstruction)
- 2011-12-05 16:55:42下载
- 积分：1
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calculate_chargedistribution
基于模拟电荷法求解导线周围空间的空间电场(Solving the electric field around the wire based on space charge simulation method)
- 2014-01-15 10:40:05下载
- 积分：1
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MatlabFinancialToolbox
Matlab金融工具箱详细介绍，1000多页，pdf英文版。(Matlab Financial Toolbox)
- 2010-02-01 16:50:23下载
- 积分：1
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MATLAB2
image processing , laplacian filter using matlab
- 2013-12-08 19:10:59下载
- 积分：1
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GAforPathPlaning
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.)
- 2019-05-02 14:56:19下载
- 积分：1
