pqcontrol1

分形插值曲面的MATLAB 程序, 对程序中的主要变量进行了说明, 并应用实际数据进行了分形插值曲面的实例研究(Fractal interpolation surfaces of MATLAB program, to the procedure in the main variables were explained, and application of real data fractal interpolation surfaces of the case study )

凸分析基础 中文教材。纯粹这方面的资料不多（多为凸优化之类），中文的书籍更难找，有用该方面知识的同行多多交流。(Chinese textbook based on convex analysis. Little information in this area (mostly convex optimization and the like), Chinese books are harder to find, useful knowledge that more exchanges with colleagues.)

ADS1282内噪音测试程序，用DSP读取数据，再用MATLAB解析数据并且分析(a code for ADS1282 noise test)

贝叶斯分类器的设计与实现，非常好的应用程序，能够在其上面实现人脸识别(Bayesian classifier design and implementation of a very good application, face recognition can be achieved in the above)

说明：  用于自学的PPT 帮助大家能够更好的 学习MATLAB 有助于 大家的自学哦(GOOD)

说明：  遗传算法的源代码。MATLAB下支持，省得编代码了(Genetic algorithm source code. MATLAB to support clinics to save compiled code of the)

控制工具箱与SIMULINK软件应用：系统对象为G(s)=4/s(s+2) PI补偿器K1(s)=(s+1)/s K2(s)=(s+0.5)/s a 若由K1(s)与 G(s)串联组成的单位反馈系统，称为系统A。 b 若由K1(s) 放置在G(s)的反馈通道称为系统B。 c 若由K2(s)与G(s)串联组成的单位称为系统C，绘制上述每一种情况的阶跃响应与斜坡响应，求每一种情况下的系统阶跃响应误差与斜坡响应误差，并与理论分析结果进行比较。 (Control toolbox and SIMULINK software application: system object for G (s) = 4/s (s+ 2) PI compensator K1 (s) = (s+ 1)/s K2 (s) = (s+ 0.5)/s If a by K1 (s) and G (s) series of feedback system of the unit, known as a system a. B if the K1 (s) placed in G (s) feedback channel called system b. If c by K2 (s) and G (s) series of unit is called system c, draw the above each kind of condition of step response and slope response, for each of these cases system step response error and slope response error, and the results were compared with theoretical analysis.)

仿真实现接收信号并进行数字下变频处理，并进行了滤波，实现了降采样率的处理过程(The received signal is simulated and processed by digital down-conversion, and filtered. The process of reducing sampling rate is realized.)

说明：  信号功率谱的AR模型估的MATLAB代码( PowerSpectrum Density Estimation based on AR mode. and MATLAB file )

曹梦龙 仿真大实验 实验三 包括所有有用数据(Caomeng Long simulation experiment in Experiment 3, all useful data)