boost

基于遗传算法BP神经网络优化的DIP控制(BP neural network based on genetic algorithm optimization DIP control)

Control of High Voltage 3-Phase BLDC Motor

EFI Application Toolkit Version 1.10.14.62 (EFI Application Toolkit Version 1.10.14.62)

using matlab litlle introduction and instruction

使用电压矢量控制策略，可以并网运行。调节电网电压，跟踪性能好，是MATLAB 2010的版本，大家可以参考(The use of voltage vector control strategy of grid connected operation, can. Grid voltage regulation, good tracking performance, is the 2010 versions of MATLAB, you can refer to)

说明：  实现chirp信号的生成，采样，脉冲压缩，一共三个文件(Realize the generation of chirp signal, sampling, pulse compression, a total of three files)

说明：  上转型对象 1．实验目的 掌握上转型对象的使用。 2． 实验要求 要求有一个abstract类，类名为Employee，Employee的子类有YearWorker、MonthWorker和WeekWorker。YearWorker对象按年领取薪水，MonthWorker按月领取薪水，WeekWorker按周领取薪水。Employee有一个abstract方法： public abstract earnings() 子类必须重写父类的earnings()方法，给出各自领取薪水的具体方式。 有一个Company类，该类用Employee数组作为成员，Employee数组的单元可以是YearWorker对象、MonthWorker对象或WeekWorker对象的上转型对象。程序能输出Company对象一年需支付的薪水总额。 (The transformation of the object 1. Purpose of the experiment used to grasp the transformation of the object. 2. Experiment requires a abstract class requirements, class named Employee, Employee of the child class has YearWorker, MonthWorker and WeekWorker. YearWorker object to receive annual salary, MonthWorker receive a monthly salary, WeekWorker receive weekly salary. Employee one abstract method: public abstract earnings () sub-class must override the parent class of earnings () method, given their own specific way of receiving pay. A Company class, such as members with an array of Employee, Employee of the array elements can be YearWorker object, MonthWorker object or objects on the transformation of objects WeekWorker. Company object program can output a year' s salary to be paid the total amount.)

小波包分解的MATLAB代码，代码有详细的注释，容易看懂(MATLAB code for wavelet package decomposition)

matlab线性拟合程序，和大家一起分享交流，一起学习(Matlab linear fitting procedures, and sharing together, learning together)

Gardner算法的Matlab仿真与实现(simulation and implementation of Gardner algorithm)