Case1_SmallSystem

一种新的Contoutlet变换，它具有明显频率局部性。上传的是这种新算法的工具箱。(a new Contoutlet transform, it is apparent frequency localized. Upload the new algorithm toolbox.)

This is a matlab svm, very useful to the matlab virtual machine

matlab环境下的高斯白噪声生成，设计，及说明(matlab environment generated white Gaussian noise, design, and description)

病态系统求解，解析解，以及rk-4，吉尔法等等(ill defined system)

Read the all images in a folder

Control of stepper motor using matlab.

全局优化工具箱，详细说明优化工具箱的使用及注意事项(Global Optimization Toolbox, Optimization Toolbox with detailed instructions and precautions)

利用模式理论，对给定几何尺寸以及折射率分布的光纤进行模式求解与绘图，该程序给出LP21模的求解与绘图。(the LP21 mode of the fiber)

In computer science, particle swarm optimization (PSO) is a computational method that optimizes a problem by iteratively trying to improve a candidate solution with regard to a given measure of quality. PSO optimizes a problem by having a population of candidate solutions, here dubbed particles, and moving these particles around in the search-space according to simple mathematical formulae over the particle s position and velocity. Each particle s movement is influenced by its local best known position but, is also guided toward the best known positions in the search-space, which are updated as better positions are found by other particles. This is expected to move the swarm toward the best solutions.

心电信号RR间期检测等 (ECG RR interval detection)