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MATLAB-hanshu
matlab常用的函数说明，能用的基本上都有，对查询matlab函数很方便。(matlab function commonly used instructions are basically usable, very easy to query matlab function.)
- 2010-10-28 22:43:43下载
- 积分：1
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ImageWienerFilter
说明： 数字图像维纳滤波器源程序，经调试可用的，效果还可以。供图像处理使用(winner filter )
- 2011-03-22 10:19:34下载
- 积分：1
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tp2Gaussienne
tp2_Gaussien with matlab
- 2011-05-16 03:26:39下载
- 积分：1
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ondas
Fourie series. Waves with sines and cosines. Square wave, sawtooth wave, etc. Very usefull.
- 2013-11-03 07:58:20下载
- 积分：1
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PVINVERTER
光伏并网逆变器电压电流双闭环，含有最大功率跟踪。(PV grid connected inverter voltage and current double closed loop, containing the maximum power tracking)
- 2016-05-02 23:05:05下载
- 积分：1
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T1simdata.m
T1 relaxation NNLS simulation setup.
- 2009-06-25 21:29:36下载
- 积分：1
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mpeg-compresson
video compression, mpeg, ex from bgu univesity
- 2011-05-18 19:38:10下载
- 积分：1
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emd
进行HHT的EMD分解，经验模态分解算法，(The HHT-EMD decomposition)
- 2011-10-13 10:20:49下载
- 积分：1
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SVM_GUI_3.1[mcode]{by-faruto}
SVM_GUI_3.1[mcode][by_faruto]1 此SVM_GUI是基于libsvm-FarutoUltimate，所以你需要实现安装该工具箱。会用libsvm-
FarutoUltimate的朋友，这个GUI一看就会用，里面的参数的输入就是原来libsvm-
FarutoUltimate里面的输入要求(SVM_GUI_3.1 [mcode] [by_faruto] 1 is based on this SVM_GUI libsvm-FarutoUltimate, so you need to implement to install the toolkit. Will use libsvm- FarutoUltimate friend, a look will use this GUI, enter inside the parameters of which is the original input requirements libsvm- FarutoUltimate)
- 2015-03-10 14:55:30下载
- 积分：1
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PSO-evolutionarycomputation
粒子群优化算法(PSO)是一种进化计算技术(evolutionary computation)，有Eberhart博士和kennedy博士发明。源于对鸟群捕食的行为研究
PSO同遗传算法类似，是一种基于叠代的优化工具。系统初始化为一组随机解，通过叠代搜寻最优值。但是并没有遗传算法用的交叉(crossover)以及变异(mutation)。而是粒子在解空间追随最优的粒子进行搜索。详细的步骤以后的章节介绍
同遗传算法比较，PSO的优势在于简单容易实现并且没有许多参数需要调整。目前已广泛应用于函数优化，神经网络训练，模糊系统控制以及其他遗传算法的应用领域(Particle Swarm Optimization (PSO) is an evolutionary computation technique (evolutionary computation), has Dr. Eberhart and Dr. kennedy invention. Deriving from the behavior of birds of prey PSO with genetic algorithm is similar to an iterative optimization-based tools. System initialization for a group of random solutions, through the iterative search for optimal values. But there is no cross-genetic algorithm used (crossover) and mutation (mutation). But the particles in the solution space of the particles to follow the optimal search. In detail the steps after the introduction sections compared with the genetic algorithm, PSO has the advantage of being simple and easy and did not realize many of the parameters need to be adjusted. Has been widely applied to function optimization, neural network training, fuzzy system control, as well as other genetic algorithm applications)
- 2008-03-19 20:51:36下载
- 积分：1
