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highpass
这是一个很好的高通滤波器。希望给大家带来帮助。(high pass filtering)
- 2009-12-07 15:40:49下载
- 积分：1
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fftload
loading file an appliying and fft on it, using concatenation for the loading of the program
- 2012-05-09 18:55:56下载
- 积分：1
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Dolph_Chebyshev
切比且夫线阵幅度加权方向图计算,画出二位方向图,图示中标示出增益,副瓣电平等(Ratio and the linear amplitude weighted directional graph computation, draw two direction map, marked gain the diagram, the sidelobe level etc.
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- 2013-11-21 12:40:25下载
- 积分：1
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boostwithpicontrol
Boost converter with PID controller
- 2013-10-18 09:01:45下载
- 积分：1
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RGSC
人工势场法路径规划 matlab程序。基于随机产生的障碍图，利用人工势场法完成路径规划。内有详注。(Artificial Potential Field Path Planning matlab program. There are detailed notes.)
- 2015-05-13 15:57:49下载
- 积分：1
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HFSSApicontrol
用于matlab控制HFSS的源代码,包含所有简单功能(Api for HFSS(matlab control))
- 2020-10-19 22:37:25下载
- 积分：1
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PCA
关于主成分分析(PCA)的MATLAB程序(MATLAB)
- 2009-09-18 19:36:44下载
- 积分：1
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primary-dual-interior-method
原始对偶内点算法,可以解决最优化问题。程序已经调试验证过，OK。(primary-dual interior method)
- 2011-09-30 08:58:07下载
- 积分：1
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chirp_sig
chirp信号matlab源代码程序，及信号的时域和频域压缩代码(time domain and frequency domain chirp signal matlab source code program, and signal compression code)
- 2014-12-10 12:47:55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
