Three_Phase_ACDCAC_PWMconverter

linear programming with pso

Library to use SCC HCC pressure sensors from Honeywell

说明：  蚁群算法的另一种实现形式，通过全局的搜索，避免陷入局部解的改进程序(Another ant colony algorithm to achieve the form of global search through, to avoid falling into local solutions to improve procedures)

SVM原理简易教材：主要内容有SVM的理论基础，相关基础知识，线性支持向量机的求解，非线性支持向量机——核方法，算法归纳。 (SVM principles of simple materials: The main content of the theory of SVM based on relevant basic knowledge, support vector machine for solving linear, non-linear support vector machines- nuclear method, inductive method.)

带有gui(图形界面）的钢筋混凝土柱截面配筋及绘图程序。(With a gui (graphical interface) of the reinforcement and reinforced concrete column cross-section drawing program.)

在simulink里如何精确建模－好文推荐 Building Accurate, Realistic Simulink Models By Seth Popinchalk An accurate system model is one that performs as expected and produces the desired results. To achieve this level of accuracy you must have a clear modeling goal. For example, will the model be used strictly for simulation, or for generating embedded C code?? This article describes five modeling techniques that can help ensure accuracy: Select the right modeling approach Know your system, understand its dynamics Monitor fo (How accurate modeling in simulink- good text recommended)

Deblurring Images Using a Regularized Filter This example shows how to use regularized deconvolution to deblur images. Regularized deconvolution can be used effectively when constraints are applied on the recovered image (e.g., smoothness) and limited information is known about the additive noise. The blurred and noisy image is restored by a constrained least square restoration algorithm that uses a regularized filter.

给出了x(n)=A*a^n*cos(w*n+theta),A，a，w，theta均为实数，程序中给出了如何不同过matlab的自带工具箱求解其DTFT的过程(Given x (n) = A* a ^ n* cos (w* n+ theta), A, a, w, theta, are real numbers, the procedure given how different matlab comes toolbox for solving itsthe process of DTFT)

说明：  Market Newman写的复杂网络的加权GN算法 算法用Python写的 其基本思想是不断的删除网络中具有相对于所有源节点的最大的边介数(ege betweenness)的边，然后，再重新计算网络中剩余的边的相对于所有源节点的边介数(The basic idea is to delete the network with respect to all of the source nodes of the largest betweenness (EGE betweenness) edges, then re computing network the remaining edge relative to the boundary of the source node number of all)

基于贝叶斯人脸识别技术的matlab人脸识别程序，在ORL库上实现，也可换用别的库进行运算，只需要更改样本数量(Bayesian face recognition technology based on face recognition matlab program, implemented on ORL database can also be used for other library operations, only need to change the number of samples)