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demosam
Script used in the Japanese webinar for image processing and computer vision held on Mar. 01, 2013
- 2013-08-18 03:53:02下载
- 积分:1
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Plainness
求峰值点的子程序,可用于信号的频率等参数估计(And the peak point of the subroutine, may be used to signal the frequency parameter estimation)
- 2011-12-12 11:38:40下载
- 积分:1
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matlab实现模拟交通流
matlab代码 交通流元胞自动机仿真 双车道
如果需要改变车流密度在脚本文件中修改fp.(Matlab code traffic flow cellular automata simulation of two lanes
If you need to change the traffic density, modify the FP in the script file.)
- 2020-12-08 23:29:19下载
- 积分:1
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3
说明: 用双音频输入重新仿真,实现频谱扩展功能,产生滤波后高斯过程功率谱密度和相关高斯序列时域值(Re-simulation with dual audio inputs, to achieve spread spectrum function, resulting in filtered Gaussian process Gaussian power spectral density and the associated value of time-domain sequence)
- 2011-07-16 23:15:51下载
- 积分:1
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nIntegrate
计算n重积分的matlab例程,来自吴鹏,matlab中文论坛(N-integral calculation matlab routines)
- 2011-07-22 11:33:22下载
- 积分:1
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vertical_handoff
A basic vertical handover code
- 2021-04-23 10:58:48下载
- 积分:1
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KalmanAll
关于卡尔曼滤波的matlab代码,其中包含了滤波的主算法,以及使用EM查找最大可能的估计参数,随机样本等等(Kalman filter matlab code, which contains the main algorithm filtering, and the use of EM to find the best possible estimate parameters of a random sample, etc.)
- 2021-02-19 01:49:45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
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matlab_fangpengzhuang
RFID标签防碰撞算法研究与仿真分析 matlab程序源代码(RFID tag anti-collision algorithm and simulation analysis matlab source code)
- 2013-10-11 13:26:12下载
- 积分:1
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paprSCFDMA
This is the PAPR simulator for SC-FDMA by using the Raised-cosine filter or Root raised-cosine filter under different rolloffFactor.
- 2009-10-22 12:04:11下载
- 积分:1