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说明：  matlab 版本的DTOA 多站时差定位技术计算GDOP(matlab DTOA GDOP Location)

Computational Building Physics and Systems 5

说明：  算法实例，一个基于配电网的可靠性分析案例，运用蒙特卡洛法(Algorithm example, a reliability analysis case based on distribution network, using Monte Carlo method)

利用matlab来模拟正弦振幅型光栅，并附有图说明模拟效果(Using matlab to simulate sinusoidal amplitude grating, together with the map shows simulation results)

CoMP 技术是LTE-A 的关键技术之一，能 够显著的提高小区吞吐量和边缘用户速率。文章 首先阐述了CoMP 的技术优势；随后介绍了 CoMP 的技术原理，系统模型以及传输方案等方 面的内容；最后总结CoMP 技术面临的机遇和挑 战。(CoMP technology is one of the key technologies for LTE-A, can significantly increase the rate of cell throughput and edge user. This paper described the technical advantages of CoMP subsequently introduced of CoMP technology principle, the system model and transmission scheme aspects concluded the opportunities and challenges faced by the CoMP technology.)

利用遗传算法的选择、交叉、变异功能来解决一元函数求最优值问题(The use of genetic algorithm selection, crossover and mutation function to solve a problem of the optimal value function uation dollar)

介绍使用MATLAB进行数值分析实验的的相关知识和程序开发事项(Describes experiments using MATLAB for numerical analysis of the relevant knowledge and program development matters)

实现dsb、ssb和Am调制信号，很简单，可以在输入屏处按键控制(Achieve dsb, ssb, and modulated signals Am)

这是一篇SCI文章《改善字典学习：多字典更新和系数重用》里的Matlab代码，包含了OMP、Batch-OMP、CoROMP等匹配跟踪算法代码以及改进的K-SVD字典学习算法代码，是图像稀疏表示研究方向重要的源代码，有助于大家学习和改进。(This file folder reproduces the Figures for paper:"Improving Dictionary Learning: Multiple Dictionary Updates and Coefficient Reuse".It contains codes of the OMP, Batch code- OMP, CoROMP matching pursuit algorithm and improved K- SVD dictionary learning algorithm ,This is the important source code of image sparse representation ,which can help you learn and improve. )

标准粒子群算法的实现思想基本按照粒子群算法(2) 标准的粒子群算法的讲述实现。主要分为3个函数。第一个函数为粒子群初始化函数 InitSwarm(SwarmSize......AdaptFunc)其主要作用是初始化粒子群的粒子，并设定粒子的速度、位置在一定的范围内。本函数所采用的数据结构如下所示： 表ParSwarm记录的是粒子的位置、速度与当前的适应度值，我们用W来表示位置，用V来代表速度，用F来代表当前的适应度值。在这里我们假设粒子个数为N，每个粒子的维数为D。(His thought of the implementation of the standard particle swarm algorithm according to the particle swarm algorithm (2)- the standard particle swarm algorithm about implementation. Mainly divided into three functions. The first function of particle swarm initialization function InitSwarm (SwarmSize... AdaptFunc), its main function is to initialize particle swarm particle, and set the particle s velocity, position in a certain range. The function of data structure is as follows: ParSwarm record table is the particle s position, speed and the current fitness value, we use W to represent the position, represented speed with a V, to represent the current fitness value with F. Here we assume that the number of particles N, each particle dimension for D.)