gene_check_mat_LDPC

这个Matlab程序包，涵盖了很多著名的电力电子，包含的电力设备有：rectifier,ac controllers,convertors,switches等等。涉及整流器,交流控制器,变换器。(The Matlab package, covering a lot of well-known power electronics, including electrical equipment have: rectifier, ac controllers, convertors, switches and so on. Involving rectifiers, AC controllers, converters.)

经验模式分解，用于局域波分解，使用于多分量信号分析(empirical mode decomposition, for the local wave decomposition, in the use of multi-component signal analysis)

老师自己总结的学习Matlab的PPT，一共分为十章，适用于教学和自学等等。(Teacher s own summary of the learning Matlab PPT, the total is divided into ten chapters, suitable for teaching and self-learning.)

过程检测习题 过程检测习题 (The process of testing the process of detection Exercises Exercises)

说明：  带通滤波器的设计，完成多功能滤波器的比较及主旁瓣分析和扩展效应(filter)

说明：  用于识别图片中有多少个圆。用户只要用windows下的画图随便画若干个圆（不能交叉，但是可以包含）。保存成256色的bmp格式，该程序就能判断出你画的图片上有多少个圆(Used to identify the picture in many circles. Users only need to use the windows painting random drawing under a number of round (can not cross, but it can contain). Save as 256 color bmp format, the program can determine the picture you draw the number of round)

MMSE 规则仿真，对于加深对mmse的理解学会运用它有很大的帮助，尤其适合初学者(this is MMSE that can help the new student learn it easily .it is very useful to the new student )

VC编译器使用Matlab_Com组件的方法（转载）(VC_Matlab_Com)

matlab最优化程序包括 无约束一维极值问题 进退法 黄金分割法 斐波那契法 牛顿法基本牛顿法 全局牛顿法 割线法 抛物线法 三次插值法 可接受搜索法 Goidstein法 Wolfe.Powell法 单纯形搜索法 Powell法 最速下降法 共轭梯度法 牛顿法 修正牛顿法 拟牛顿法 信赖域法 显式最速下降法， Rosen梯度投影法 罚函数法 外点罚函数法 內点罚函数法 混合罚函数法 乘子法 G－N法 修正G－N法 L－M法 线性规划 单纯形法 修正单纯形法 大M法 变量有界单纯形法 整数规划 割平面法 分支定界法 0-1规划 二次规划 拉格朗曰法 起作用集算法 路径跟踪法 粒子群优化算法 基本粒子群算法 带压缩因子的粒子群算法 权重改进的粒子群算法 线性递减权重法 自适应权重法 随机权重法 变学习因子的粒子群算法 同步变化的学习因子 异步变化的学习因子 二阶粒子群算法 二阶振荡粒子群算法 (matlab optimization process includes Non-binding one-dimensional extremum problems Advance and retreat method Golden Section Fibonacci method of basic Newton s method Newton s method Newton s Law of the global secant method parabola method acceptable to the three interpolation search method   Goidstein France Wolfe.Powell France Simplex search method Powell steepest descent method Conjugate gradient method Newton s method Newton s method to amend Quasi-Newton Method trust region method explicitly steepest descent method, Rosen gradient projection method Penalty function method outside the penalty function method within the penalty function method Mixed penalty function multiplier method   G-N was amended in G-N method L-M method Of linear programming simplex method, revised simplex method Big M method variables bounded simplex method, Cutting Plane Method integer programming branch and bound method 0-1 programming quadratic programming )

Artificial neuarl network is one of the recent developed softcomputing technique work on the basis of human neural system. The traning and testing are the two important process in artificial neural network. ther are many techniques used for the training of artificial neural network, however backpropagation algorithm is the traditional method for training purpose. this document contain the mathematical formation of artificial neural network with backpropagation training.