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design
基于matlab的UWB仿真，多种调制方式，多种多制方式。有原理图。(Matlab simulation of UWB-based, multi-modulation mode, a variety of multi-format. There are schematics.)
- 2008-01-10 11:46:49下载
- 积分：1
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pp
matlab code for object detection as well as our eyes can do
- 2013-05-02 16:50:25下载
- 积分：1
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s变换
说明： S变换源码,附带详细的英文注释，可直接调用函数进行变换(S-Transform function with some examples)
- 2020-11-21 13:36:49下载
- 积分：1
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m
说明： 基于MATLAB图像处理的应用及参考代码(MATLAB-based image processing applications and reference code)
- 2009-03-22 11:44:26下载
- 积分：1
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ENEE634_report1
Least Mean Square algorithm
- 2009-12-29 00:53:38下载
- 积分：1
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cs
说明： cs点目标成像算法，用matlab实现的点目标仿真。(cs-point target imaging algorithm using matlab to achieve point target simulation.)
- 2011-09-04 13:20:46下载
- 积分：1
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power_flow_solution
this is a matlab gui of power flow solutions, it has guass-seidel, newton raphson and fast decouple
- 2013-03-06 22:40:45下载
- 积分：1
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MyFEM1
matlab求转子系统的临界转速程序源代码(Critical Speed)
- 2013-01-24 00:28:59下载
- 积分：1
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fcmeans
该函数能快速的实现对图像分c均值聚类,打包文件中含有完整的程序，还有图片(This function can quickly realize the image points c-means clustering, the archive file contains the complete program, as well as pictures)
- 2015-03-09 16:23:33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
