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newton
牛顿法,用于优化求解,在图像优化求解,在点散射目标的仿真
(newton)
- 2010-12-04 12:19:24下载
- 积分:1
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功率谱密度
生成一个采样频率2000,由50Hz、120Hz、200Hz正弦信号以及噪声信号组成的数字信号,滤掉150Hz>f>100Hz的频率,计算并显示滤波前后的原始数据波形以及功率谱密度。(A sampling frequency of 2000, a digital signal composed of 50Hz, 120Hz, 200Hz sine and noise signals, is generated to filter out the frequency of 150Hz>f>100Hz and to calculate and display the original data waveforms and the power spectral density before and after the filtering.)
- 2018-04-08 22:43:07下载
- 积分:1
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medfilt3
matlab数字图像处理中值滤波,希望对大家有帮助(matlab digital image processing, median filter, we would like to help)
- 2009-05-23 00:58:48下载
- 积分:1
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otsu
cet algorithme est ecrit en matlab
- 2011-04-21 06:21:51下载
- 积分:1
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MCMC
matlab编程中,蒙特卡洛抽样的源程序,蒙特卡洛算法应用(Matlab programming, Monte Carlo sampling of the source, the Monte Carlo algorithm is applied)
- 2012-08-31 09:00:07下载
- 积分:1
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work12345
16QAM调制解调的源码,非常有用,即下即用。(failed to translate)
- 2013-05-06 22:55:27下载
- 积分:1
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exam
光纤光栅振动传感器的悬臂梁参数优化,包括四个变量,显示频率变化和灵敏度(optimization of FBG sensor)
- 2013-05-19 14:01:30下载
- 积分:1
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TSP
说明: 用matlab解决TSP旅行商问题,针对30个城市最短路径进行优化(Using matlab to solve the traveling salesman problem TSP for 30 cities to optimize the shortest path)
- 2010-05-02 12:42:25下载
- 积分:1
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PsoProcess
粒子群算法OptSwarm记录每个粒子的历史最优解(粒子历史最好的适应度)以及全部粒子搜索到的全局最优解。用Wg代表全局最优解,W.,1代表每个粒子的历史最优解。粒子群初始化阶段表OptSwarm的前N行与表ParSwarm中的相同,而Wg的值为表ParSwarm中适应度值的最大值对应的行。(Particle swarm algorithm OptSwarm record the history of each particle the optimal solution (particles history best fitness), and all the particles of the search to the global optimal solution. Use Wg represents the global optimal solution, w., 1 representative of each particle history to the solution. Particle swarm initial stage OptSwarm table before the line and the table ParSwarm N is same, and the value of the ParSwarm Wg for tables in the maximum fitness value corresponding line.
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- 2012-03-21 16:56:36下载
- 积分:1
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CPhbl302
超宽带基础的基本程序,非常不错的小程序,省不少事情啊(the basic procedures, a very good small procedures, many of the things the provincial ah)
- 2007-04-19 13:17:40下载
- 积分:1