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电力电子技术与MATLAB仿真，电子书，包括基本电子器件的介绍与仿真，简单易学(Power Electronics and MATLAB simulation, e-book, including the introduction of basic electronic devices and simulation, easy to learn)

基于期望最大化的时变参数建模，时频分辨率高(Based on expectation maximization of time-varying parameter modeling, high time-frequency resolution)

这是关于matcom和C++联合编程的资料，可以实现脱离matlab环境来进行编程(This is joint programming on matcom and C++, the data can be achieved out of the matlab environment for programming)

The package includes the MATLAB code of the multi-instance learning algorithm miFV, which is an efficient and scalable MIL algorithm. miFV maps the original MIL bags into a new feature vector representation, which can obtain bag-level information, and meanwhile lead to excellent performances even with linear classifiers. In consequence, thanks to the low computational cost in the mapping step and the scalability of linear classifiers, miFV can handle large scale MIL data efficiently and effectively. A Readme file and some data files are included in the package.

用二维时域有限差分方法模拟了矩形波导的模场分布(the program of 2D-FDTD of retangularwaveguide)

说明：  用matlab程序设计bp网络实现十进制数字1-9的识别(Bp with the matlab programming networks identification of decimal digits 1-9)

基于脉冲响应不变法巴特沃斯滤波器的设计 通过仿真出图像，从而进行分析(failed to translate)

Matlab环境下设计直观、功能强大的PID参数优化计算GUI界面。(Matlab environment, design an intuitive and powerful GUI interface of PID Parameter Optimization.)

introduction to matlab part 1 with example

灰色预测方法的特点表现在：首先是它把离散数据视为连续变量在其变化过程中所取的离散值，从而可利用微分方程式处理数据；而不直接使用原始数据而是由它产生累加生成数，对生成数列使用微分方程模型。这样，可以抵消大部分随机误差，显示出规律性。(The characteristics of the grey prediction method are as follows: First, it regards the discrete data as the discrete value of the continuous variable in its change process, so that the differential equation can be used to process the data; instead of using the original data directly, it generates the cumulative generation. Number, using a differential equation model for generating a series. In this way, most of the random errors can be offset, showing regularity.)