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lvbo
在matlab环境下对图像进行高通滤波和低通滤波处理。(The high-pass filter and low-pass filtering image processing in Matlab environment.)
- 2013-03-11 21:43:02下载
- 积分：1
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rengongmianyisuanfa
人工免疫算法的一些论文.是大家搜集起来的,个人感觉很不错.(Artificial immune algorithm a number of papers. Is to gather everyone up, personal feeling is pretty good.)
- 2007-09-01 21:19:06下载
- 积分：1
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apes
APES谱估计方法的matlab源代码，已经通过验证(APES spectral estimation methods matlab source code has been validated)
- 2009-07-08 16:01:34下载
- 积分：1
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10463
matlab 入门基本操作 包括一些基本的源代码 和实力
- 2011-10-25 13:04:01下载
- 积分：1
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J_pseudoinv
pseudo inverse kinematics
- 2010-02-17 02:19:14下载
- 积分：1
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xianxingguihua
说明： matlab中线性规划问题的源代码,包括~~~~`(matlab linear programming problem in the source code, including ~~~~`)
- 2008-09-09 22:33:09下载
- 积分：1
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16APSK调制的MATLAB实现函数
modulation
16APSK调制的MATLAB实现函数，映射为4+16APSK的星座图(16APSK modulation of MATLAB functions mapped to the constellation 4+16APSK)
- 2014-03-17 10:30:57下载
- 积分：1
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exam43
采用线性卡尔曼滤波估计阻尼简谐振荡器的速度和位置(demonstration of a Kalman filter estimating the state (position and velocity) of a damped harmonic oscillator with constant forcing.)
- 2009-12-23 20:07:40下载
- 积分：1
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ncut_multiscale_1_6
经典的图像分割算法NCut的Matlab代码。(Matlab code of classic image segmentation algorithm NCut .)
- 2015-04-17 10:46:07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
