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shiyingtuxiangfuyuan
实景图像复原处理，各种方法，效果都不错，还有解释说明(Live image restoration processing, a variety of methods, the effect is pretty good)
- 2015-04-22 09:56:27下载
- 积分：1
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median
The median filtering algorithm on matlab
- 2010-06-23 03:19:52下载
- 积分：1
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epochJST
perceptron 3 input biner
- 2012-06-22 07:52:54下载
- 积分：1
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tree
MATLAB二叉树生成，可以生成平衡和非平衡二叉树(MATLAB binary generation, can generate balanced and unbalanced binary tree)
- 2015-01-07 04:31:35下载
- 积分：1
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duhamel
Dynamic respose of single degree of freedom system using DUHAMEL integral
- 2014-12-26 23:33:01下载
- 积分：1
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输入地震数据 此函数返回在Radon 域中的数据
。输入地震数据(剥去文件头、剥去道头, 按道序排列的数据矩阵, 每
一列为一道的数据)。此函数返回在Radon 域中的数据。(. Input seismic data (stripped header, stripped road head, arranged in order by channel data matrix, each as a data). This function returns the data in the Radon domain.)
- 2014-04-12 15:54:19下载
- 积分：1
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Monte-Carlo
Monte Carlo方法的实质是通过大量随机试验，利用概率论解决问题的一种数值方法，基本思想是基于概率和体积间的相似性。它和Simulation有细微区别。单独的Simulation只是模拟一些随机的运动，其结果是不确定的；Monte Carlo在计算的中间过程中出现的数是随机的，但是它要解决的问题的结果却是确定的。(The essence of the Monte Carlo method is a numerical method to solve the problem through a large number of randomized trials, the use of probability theory, the basic idea is based on the similarity between the probability and volume. There are subtle differences between it and Simulation. Separate the Simulation simulation of random movement, the result is uncertain number of the Monte Carlo calculations in the middle of the process is random, but it is to solve the problem the result is determined.)
- 2012-05-12 22:18:55下载
- 积分：1
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ply_to_tri_mesh
reading Ply format file and exract vertex and face matrix for 3D-Objects
- 2011-07-04 20:47:35下载
- 积分：1
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GAforPathPlaning
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.)
- 2019-05-02 14:56:19下载
- 积分：1
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matlab-commonly-used-commands
说明： 内附matlab常用命令，详细列举了各个命令的中英文对照，方便学习。(Matlab commonly used commands included in detail the various commands listed in Chinese and English to facilitate learning.)
- 2011-03-11 12:41:20下载
- 积分：1
