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matlabdatabase
由于Matlab不同于其它编程语言,因此在使用数据库方面和其它语言有显著不同.主要介绍
Matlab中数据库的连接和使用。(Because Matlab is different from other programming languages, so in the use of databases and other languages are markedly different. Mainly Matlab database connection and use.)
- 2007-12-13 15:13:29下载
- 积分：1
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lab4
matlab实现的频率空间转换，含完整实验报告(matlab implementation of the frequency space conversion, including a full lab report)
- 2010-11-12 16:41:49下载
- 积分：1
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KPCA
KPCA 介绍核PCAdehanshumokuai (matlab KPCA)
- 2013-08-29 14:00:20下载
- 积分：1
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rayleighbenard
Title: GPU Implementation of Two-Dimensional Rayleigh-Benard Code with High Resolution and Extremely High Rayleigh Number. Authors: Gonzalez, C. M.
- 2014-01-26 18:29:24下载
- 积分：1
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MIMO_OFDM_Wireless_Communications_with_MATLAB
this book includes basic of ofdm and MIMO ofdm including thier matlab code...thnx
- 2012-04-02 23:05:30下载
- 积分：1
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SpeechProcessingToolBox
这是Matlab的一个语音工具箱
很有用(This is a Matlab toolbox very useful voice)
- 2006-10-13 12:48:13下载
- 积分：1
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A-example-of-MATLAB-GUI-program
Matlab界面编程的一个实例， Matlab2008a(A example of MATLAB GUI program)
- 2012-04-28 18:41:07下载
- 积分：1
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Music
Basicmusic 波束形成程序 能有效的仿真天线排列(Basicmusic beamforming coding. It can simulate the antena array effectly.)
- 2012-05-16 22:00:51下载
- 积分：1
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biway_modle
two way modle in matlab
- 2012-09-20 22:20:31下载
- 积分：1
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13
说明： 粒子群算法（PSO）是一种基于群体的随机优化技术。与其它基于群体的进化算法相比，它们均初始化为一组随机解，通过迭代搜寻最优解。不同的是：进化计算遵循适者生存原则，而PSO模拟社会。将每个可能产生的解表述为群中的一个微粒，每个微粒都具有自己的位置向量和速度向量，以及一个由目标函数决定的适应度。所有微粒在搜索空间中以一定速度飞行，通过追随当前搜索到的最优值来寻找全局最优值。
PSO模拟社会采用了以下三条简单规则对粒子个体进行操作：①飞离最近的个体，以避免碰撞。②飞向目标。③飞向群体的中心。这是粒子群算法的基本概念之一。
粒子群算法其基本思想是受许多鸟类的群体行为进行建模与仿真研究结果的启发(Particle swarm optimization (PSO) is a population based stochastic optimization techniques. Based on evolutionary algorithms compared with other groups, they are initialized to a random solution, iterative search through optimal solution. The difference is: the principle of survival of the fittest evolutionary computation to follow, while PSO simulation community. The potential of each solution expressed as a group of particles, each particle has its own position vector and the velocity vector, and a fitness determined by the objective function. All particles in the search space at a constant speed flight, by following the current search to find the optimal values of the global optimum. PSO simulation community has adopted the following three simple rules for the operation of individual particles: ① recently departed individuals, in order to avoid collisions. ② to the target. ③ fly to center groups. This is one of the basic concepts of particle swarm algorithm. PSO algori)
- 2015-04-21 16:39:12下载
- 积分：1
