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在自动控制系统的过程中，narendra稳定方程 持续时间 稳定时间 动态响应(In the process of automatic control system, narendra stability equation dynamic response settling time duration)

LabVIEW和MATLAB综合学习的一个简单例程(A simple routine LabVIEW and MATLAB integrated learning)

利用matlab计算有限元计算，得到流场，划分网格为结构网格。(Take use of finite Element method to calculate the flow field, and get the result of the computation. Structure is used in this code.)

说明：  可以利用元胞自动机模拟疫情发展情况，并且有详细的论文说明，语义解释(Cellular automata can be used to simulate the development of epidemic situation)

波阈值去噪，比较了软阈值，硬阈值及当今各种阈值计算方法和阈值函数处理方法的性能，通过信噪比及均方差的比较，得出各种的算法的优劣(Wave threshold denoising compared soft threshold and hard threshold and the current calculation method and the various thresholds threshold function processing performance of the method by SNR and mean square deviation of the comparison, the pros and cons of various algorithms)

ITS ABOUT SOME BASIC MATLAB OPERATION

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)

含噪脉冲信号进行相关检测,滤波求和方式实现宽带波束形成，有循环检测，周期性检测，MIMO OFDM matlab仿真,各种资源分配算法实现，对于初学matlab的同学会有帮助。( Noisy pulse correlation detection signal, Filtering summation way broadband beamforming, There are cycle detection, periodic testing, MIMO OFDM matlab simulation, Various resource allocation algorithm, Matlab for beginner students will help.)

GSM中GMSK调制信号的产生，有循环检测，周期性检测，包括主成分分析、因子分析、贝叶斯分析。( GSM is GMSK modulation signal generation, There are cycle detection, periodic testing, Including principal component analysis, factor analysis, Bayesian analysis.)

matlab tutorial files...