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Desktop
信号估计仿真，线性最小误差估计的仿真。《随机数字信号处理》的实验与实践教学部分(Signal estimation simulation, simulation of linear minimum error estimation)
- 2015-01-27 12:59:30下载
- 积分：1
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Fingerprint-localization--code
室内指纹定位算法，内有NN,KNN,WKNN多种算法进行对比，可运行，有注释。(Indoor fingerprint localization algorithm with NN, KNN, WKNN comparing various algorithms, can run, with comments.)
- 2020-12-20 23:59:10下载
- 积分：1
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PSD
功率谱函数的MATLAB代码，内含加窗函数代码，并附带解释标注。(Power spectrum function)
- 2018-04-11 21:51:32下载
- 积分：1
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datamining[1].rar___zzjiang10820075281058042581
关联规则挖掘算法 Apriori算法的Matlab实现(Association rule mining algorithm Apriori Algorithm Matlab implementation)
- 2010-01-06 20:15:17下载
- 积分：1
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lagrange-
说明： 拉格朗日多项式插值计算，可以用语内插卫星精密星历的卫星坐标(Lagrange polynomial interpolation can be inserted within the terms of precision satellite coordinates of the satellite ephemeris)
- 2011-04-17 12:30:59下载
- 积分：1
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state3
三状态锁相环的matlab仿真程序，使用stateflow方法编译(Three state phase locked loop of matlab simulation program, use compiled stateflow method
)
- 2012-04-19 21:53:37下载
- 积分：1
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OFDM
正交频分复用(OFDM)通信系统的MATLAB源程序(OFDM communication system MATLAB)
- 2013-09-27 09:01:06下载
- 积分：1
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Attachments_2012_04_7
optimal power flow using partical swarm optimization
- 2012-09-08 04:10:00下载
- 积分：1
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main1
不错的pso源程序，非常适合初学者学习。(Pso good source, very suitable for beginners to learn.)
- 2013-12-13 11:03:58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
