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sr
说明： 运用龙格库塔算法求解朗之万方程，进而实现随机共振系统(The use of Runge-Kutta algorithm for solving Langevin equation, and then the realization of stochastic resonance systems)
- 2008-06-11 16:28:44下载
- 积分：1
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SVPWM
svPWM仿真，光伏逆变svpwm仿真，simulink仿真(SvPWM simulation, photovoltaic inverter SVPWM simulation, Simulink simulation)
- 2018-07-24 14:11:03下载
- 积分：1
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RANGECOMP
利用matlab 产生chirp信号 包含源文件 附带幅频特性 (the way to gengrate chirp signals)
- 2009-04-13 11:08:32下载
- 积分：1
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MATLAB_2010B_INSTALL
MATLAB_2010B_安装方法 详细说明(MATLAB_2010B_ Installation Details)
- 2011-06-19 20:00:49下载
- 积分：1
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dynamicNLOS.m
matlab script to calculate dynamic range in NLOS environtment
- 2013-06-14 18:21:50下载
- 积分：1
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SFLA
经测试可以运行的MATLAB编程实现混合蛙跳算法(After the test you can run MATLAB programming realize SFLA)
- 2013-12-16 15:56:31下载
- 积分：1
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multiagent
多智能体系统的仿真适合学习参考(simulations of mult-agent systems for studying or referencing)
- 2018-01-12 10:10:57下载
- 积分：1
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inpainting-denoisin
MATLAB® is a high-level technical computing language and interactive environment for algorithm development, data visualization, data analysis, and numeric computation. Using the MATLAB product, you can solve technical computing problems faster than with traditional programming languages, such as C, C++, and Fortran.
You can use MATLAB in a wide range of applications, including signal and image processing, communications, control design, test and measurement, financial modeling and analysis, and computational biology. Add-on toolboxes (collections of special-purpose MATLAB functions, available separately) extend the MATLAB environment to solve particular classes of problems in these application areas.
MATLAB provides a number of features for documenting and sharing your work. You can integrate your MATLAB code with other languages and applications, and distribute your MATLAB algorithms and applications.
- 2011-08-14 19:32:37下载
- 积分：1
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matlab
聚类算法，不是分类算法。分类算法是给一个数据，然后判断这个数据属于已分好的类中的具体哪一类。聚类算法是给一大堆原始数据，然后通过算法将其中具有相似特征的数据聚为一类。这里的k-means聚类，是事先给出原始数据所含的类数，然后将含有相似特征的数据聚为一个类中。所有资料中还是Andrew Ng介绍的明白。首先给出原始数据{x1,x2,...,xn}，这些数据没有被标记的。初始化k个随机数据u1,u2,...,uk。这些xn和uk都是向量。根据下面两个公式迭代就能求出最终所有的u,这些u就是最终所有类的中心位置。(Clustering algorithm, not a classification algorithm. Classification algorithm is to give a figure, and then determine the data belonging to a specific class of good which category. Clustering algorithm is to give a lot of raw data, and then through the algorithm which has similar characteristics data together as a class. Here k-means clustering, is given in advance the number of classes contained in the raw data, then the data contain similar characteristics together as a class. All information presented in or Andrew Ng understand. Firstly, raw data {x1, x2, ..., xn}, the data is not labeled. K random initialization data u1, u2, ..., uk. These are the vectors xn and uk. According to the following two formulas can be obtained final iteration all u, u is the ultimate all these classes the center position.)
- 2014-02-18 09:59:02下载
- 积分：1
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pdelin
用Matlab实现求偏微分数值解的有限元法。 波动方程是数学中一个常见于静电学、机械工程和理论物理的偏微分方程。(The main functionality of this component is to memorize the last strings that you entered in it. So, you have not to worry about save in an additional)
- 2015-12-29 17:26:53下载
- 积分：1
