MUSIC

说明：  这是关于AM调制的matlab程序，对初学调制的人很有帮助，有仿真图片(AM modulation matlab program, beginner modulation helpful, simulation picture)

matlab 遗传算法代码 附详细步骤 超详细超详细(matlab gentic)

ocr feature extraction in matlab for example

This program solves the ODE by the classical 4 th-order Rnge-Kutta method.

传统的解相干方法主要有空间平滑和子空间拟合两类,但这些方法或者阵列利用率低或者计算复杂度高,因此寻求计算量小且阵列利用率高的解相干测向方法有重要意义.该文基于前后向矢量重构理论,(The traditional decoherence methods spatial smoothing and subspace fitting into two categories, but these methods or array utilization rate is low or high computational complexity and therefore seek small amount of calculation and array of high utilization coherent finding method is important. This paper is based on the vector before and after Reconstruction,)

说明：  计算发电机励磁系统的机断电压\功率,能够判断系统的稳定性和能观能控性能(Calculation of Generator Excitation System machine off voltage power, able to judge the stability of the system observability and controllability properties)

PCM编码和解码的Matlab程序，已试验过，没有问题(PCM encoding and decoding in Matlab )

基于模态振型的固定结合面动态特性参数测试 (Based on a fixed mode shapes combined with dynamic characteristic parameters of the test surface)

matlab的gui教程，非常详细，简单易懂，便于学习，非常适合新手入门(The gui matlab tutorial, very detailed, easy to understand, easy to learn, very suitable for beginners)

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)