MatlabLearning

说明：  这是可在多钟人脸数据库运行的matlab程序，基于ICA,可做学习用(This is a clock face in a multi-run matlab program databases, based on ICA, do learn to use)

This code make an amplification process using orthogonal frqquency bands

结合了分页显示、拖拽换位、删除及动画效果，长按后可进行拖拽，并在拖拽的移动过程中有补位的动画效果，可在拖拽过程中换页。自定义点击目标的可删除、可移动的属性。(Combines paging display, drag transposition, delete, and animation effects, long press can drag and drag to move the process to fill the seats have animation, can change the course page in drag. Custom Click goals can be deleted, movable property.)

EMD经典程序包，求瞬时频率和瞬时幅值，以及希尔伯特谱等。(Classic EMD program package, and instantaneous frequency and amplitude, as well as Hilbert spectrometer.)

这是code使用说明,对大家比较有帮助，新手必备(This is the code for use)

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)

hyper chaotic transformation

本函数将完成W—svd模型下数字水印的嵌入，即经典的W-SVD数字水印算法(This function will finish W- SVD model under the embedded watermark, namely classic W- SVD watermarking algorithm is proposed)

practical image classification

Hybrid Control Design for a Wheeled Mobile Robot