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SAR_NLmeans
SAR影像的nonlocal means 去噪算法的MATLAB程序。效果优良(The matlab sources code of nonlocal means algorithm for SAR image despeckling )
- 2014-11-29 16:09:52下载
- 积分：1
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1001-3695(2013)02-0613-03
基于Bayesian压缩感知的融合算法.pdf(Image fusion algorithm based on bayesian compressive sensing)
- 2014-02-02 08:02:43下载
- 积分：1
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cyc4cESPRIT2ext
此算法实现了对多径信号的优化，仿真结果显示具有很好的效果(multipath estimation)
- 2009-10-23 09:29:44下载
- 积分：1
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burg
谱估计中的伯格算法，利用matlab仿真，对信号频率做出估计(The Burg spectrum estimation algorithm using matlab simulation, to estimate the frequency of the signal)
- 2011-09-16 18:23:16下载
- 积分：1
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stress
这对于计算chut chutiye的摩擦力是一个很好的选择(this is a nice for calculating the friction of chut chutiye)
- 2020-06-23 09:20:02下载
- 积分：1
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text2img
This function was created as the function getframe() does not capture the data in the required size.
This function lets you specify the font size, weight and several other things.
* To change of background/font color open the file and make changes at appropriate places, as it is, it puts black text on white background.
- 2015-01-14 22:57:10下载
- 积分：1
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waveIn-API
An example of the German enigma encryption technology COOL
- 2015-02-17 02:01:26下载
- 积分：1
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GMx
灰色线性组合模型算法，可以实现该算法的建模，拟合以及预测(Grey linear combination model algorithm, the algorithm can be implemented for modeling, fitting and forecasting)
- 2013-11-01 17:36:20下载
- 积分：1
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Vinay-Project
LPRS using Edge detection and morphological operations
- 2013-11-24 20:39:48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
