matlab-information

用PEG构造法生成LDPC监督矩阵的程序(With PEG construction method to generate LDPC matrix program oversight)

SMI算法的一些源程序，简单的指出了期望信号协方差矩阵，干扰信号协方差矩阵，噪声信号协方差矩阵。(Some of the source of the SMI algorithm, simply that the desired signal covariance matrix, the covariance matrix of an interference signal, the noise signal covariance matrix.)

说明：  MATLAB 模糊控制PID调节 逻辑工具箱函数说明(MATLAB模糊逻辑工具箱函数)

ask信号解调的MATLAB实现，较简单例子(demodulation of ask)

LBP code has implemented here to extract texture pattern a gray scale image.

这是一个关于垂直腔半导体光放大器（VCSOA，微腔光放大器的一种）中的双稳态曲线计算程序，用Matlab语言写成，可执行。程序是根据VCSOA中的速率方程（Rate Equation）编写的。从曲线上可以看出随着输入功率Pin的变化VCSOA的输出功率Pout的双稳态曲线，是进一步研究该问题的基本素材之一。(This is a computation program for calculating the bistability activity of the vertical cavity semiconductor optical amplifier, which is based on the rate equation in VCSOA. This code is a basis for further investigating other activities in VCSOA related to bistability. )

gold序列的生成 PN序列Gold序列极好的自相关性 生成64位的PN序列 (Gold sequence generated PN sequence gold sequence excellent correlation )

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)

图像处理中的图像增强的Matlab代码，用于去除图像中的噪声，增强图像信号等功能(image enhence Matlab code)

《MATLAB时尚百例实例》实例1-13()