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08041107
基于随机共振的弱信号检测,sr为龙格库塔方法解方程,rs为检测的主程序(Based on stochastic resonance in weak signal detection, sr for the Runge-Kutta method to solve the equation, rs for the detection of the main program)
- 2010-02-07 01:37:24下载
- 积分:1
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chap5
matlab图像处理实例详解chap5——图像增强技术(matlab image processing example explanation chap5- image enhancement technology)
- 2013-11-06 14:23:34下载
- 积分:1
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WPT_SP
说明: 针对串并联无线电能传输互感模型,建立能量传输方程,利用Matlab编程画出负载功率、传输效率等的三维图和二维图。(Aiming at the mutual inductance model of series-parallel radio energy transmission, the energy transmission equation is established, and the load power, transmission efficiency and other three-dimensional and two-dimensional diagrams are drawn by Matlab programming.)
- 2019-03-30 09:15:18下载
- 积分:1
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gold-series
基于matlab的golden序列生成程序,可以参考使用(Based on the matlab golden series generate program, reference may be used)
- 2012-05-06 11:05:57下载
- 积分:1
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biaoliangji
标量积算法反演雷达海浪图形的反演算法,可得到各种海流参数(Scalar wave radar graph algorithm inversion inversion algorithm parameters obtained various currents)
- 2013-10-03 09:56:15下载
- 积分:1
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esprit
ESPRIT算法的经典功率谱估计程序,已运算过,下载即可使用(ESPRIT algorithm is the classic power spectrum estimation procedures have been operational before, you can use to download)
- 2011-05-11 16:51:17下载
- 积分:1
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introductory-book-matlab
本文是很好的matlab入门书籍,从安装到各个matlab能实现的功能进行详细的讲述。(This is a good introductory book matlab, matlab from installation to achieve the various functions described in detail)
- 2011-12-08 09:58:57下载
- 积分:1
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de-mo-an
POWER ELECTRONICS DOCUMENTSS
- 2012-10-25 14:33:37下载
- 积分:1
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radar-image
保铮写的雷达图像经典著作,搞雷达图像研究必备(radar image)
- 2012-11-20 16:24:37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