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eemd
Ensemble Empirical Mode Decomposition的完整源码(Ensemble Empirical Mode Decomposition of the complete source code)
- 2009-10-05 11:52:35下载
- 积分：1
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16psk
用matlab编写的16进制相位键控，已通过测试，可以运行(16psk)
- 2009-12-08 13:22:47下载
- 积分：1
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yb1
数字图像中心点的确定、定位、图像的裁剪、以及数字图像样本的输出等。(To determine the center of the digital image, positioning, image cropping, digital image sample output.)
- 2020-12-20 22:39:09下载
- 积分：1
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linear-inverse-problems$
文章是关于在Matlab中的线性系统的逆的求解。(The article is to solve the inverse of the linear system in Matlab.)
- 2012-09-19 16:37:12下载
- 积分：1
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Basic-conception
自适应信号处理基础知识，数字信号处理必备(Basic knowledge of adaptive signal processing, digital signal processing (DSP) necessary)
- 2014-12-26 16:15:59下载
- 积分：1
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work
在Matlab的Simulink下实现的电机闭环测速系统仿真(The Simulink in Matlab to achieve the motor closed-loop system simulation speed)
- 2010-05-23 21:04:07下载
- 积分：1
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fenleidaima
文件中包含matlab中常用的分类方法 以及归一化代码 供自学(The file contains the classification methods commonly used in MATLAB and the normalized code for self-study)
- 2015-01-23 17:24:23下载
- 积分：1
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Solar-module
太阳电池组件生产厂家通常仅为用户提供产品在标准测试条件(STC)下测出的Isc、Voc、Im、Vm、Pm值,本程序根据这些仅有的工厂测试数据在工程精度下复现光伏电池或之阵列在不同日射、不同温度下的I—V特性。(Solar module manufacturers generally only provide users with products under standard test conditions (STC) measured Isc, Voc, Im, Vm, Pm value, this program is just a plant based on these test data reproduced in the engineering precision PV battery or the array of different insolation, I-V characteristics at different temperatures.)
- 2020-08-23 15:18:17下载
- 积分：1
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BGC
Blum-Goldwasser Probabilistic Cipher (BGC) Function and Blum-Goldwasser Probabilistic Decipher (BGC) Function
- 2013-05-12 23:16:59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
