channelcapacity

对基于MATLAB的HDB3,迫零均衡，ISI等进行了仿真(MATLAB-based HDB3, zero forcing equalization, ISI and other simulation)

说明：  应用潮流程序,想怎样 就怎样,大家要是想要就拿去 我留着也是留着!(application of power flow)

已验证的效果不错的边缘检测matlab代码(Good results have been validated edge detection matlab code)

matlab中产生16QAM信号 星座图(generate 16QAM signal )

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)

matlab的函数名大全，方便查找，适合学习，收集了很久才收集全(Fingers matlab function to facilitate the search for learning, gathering for a long time to collect all)

该ppt详细的介绍了学习Matlab的基础知识和MATLAB的基本语法。(This ppt includes the foundational knowledges and grammer of MATLAB.This can make you learn MATLAB more easily.)

三分之一倍频程，用于信号的能量分析，特别是噪声频道的能量(octave for noise analysis)

遗传算法求解离散问题投资组合,matlab编程实现！(GA for profit combination)

关于地震勘探噪声理论比较经典的论文，希望对大家用所帮助(Theory of seismic noise on the more classic papers, we want to help with the)