MATLABface

matlab7·0从入门到精通光盘程序，对于学习matlab的人来说，很有参考价值(MATLAB)

有传统PID介绍，引申到改进算法，包括模糊控制，滑模控制等，配有大量实例，除利用simulink搭建外同时由c或matlab语言对照。(Traditional PID introduced extended to improve the algorithm, including fuzzy control, sliding mode control, Peiyoudaliang instance, in addition to the use of structures outside simulink matlab language by both c or control.)

MATLAB典型实验和例子，包含程序，供初学者使用，简单易学(MATLAB and examples of typical experiments, including the program for beginners to use, easy to learn)

说明：  BP算法，关于神经网络反馈的算法，Matlab编写，内含数据文件，可直接运行(BP algorithm, on the neural network feedback algorithm, Matlab preparation, combustion data file that can be run directly)

说明：  采用近邻聚类方法进行聚类，给出了仿真的粒子，运行通过。(The neighbor clustering methods clustering, and give out the simulative particle, run through )

MATLAB工具箱LMI的介绍，比较详细，可以作为设计的参考。(Introduction MATLAB LMI toolbox, more detailed, can be used as a reference design.)

关于给出一个谐波源采用基于dq将谐波电流检测出来(Give a harmonic source using out based on the dq harmonic current detection)

《数字信号处理——理论、算法与实现》胡广书 书配光盘程序 本光盘共包含三个子目录，分别是DSP_FORTRAN, DSP_C和DSP_MATLAB。DSP_FORTRAN和DSP_C各含有约40个信号处理的子程序，概括了书中所涉及到的绝大部分算法。程序分别由FORTRAN语言和C语言编写（MA模型、ARMA模型及最小方差谱估计三个算法只给出了用C语言编写的程序, 没有给出相应的FORTRAN子程序），并在PC机上调试通过。编译环境是FORTRAN77 V5. 10和TURBO C2. 0。DSP_MATLAB含有近100个用MATLAB编写的信号处理程序，它们是本书各个章节的大部分例题，使用的是MATLAB6.1。(" Digital Signal Processing- Theory, Algorithm and Implementation" Hu Guang book written with the CD-ROM CD-ROM program includes three subdirectories, namely DSP_FORTRAN, DSP_C and DSP_MATLAB. DSP_FORTRAN and DSP_C contains about 40 of the signal processing routine, the book summarizes most of the algorithms involved. Program language and C respectively written in FORTRAN (MA models, ARMA model and minimum variance spectrum estimation is given by the three algorithms only programs written in C language, did not give the corresponding FORTRAN subroutines), and in the PC, through debugging . Compilation environment is FORTRAN77 V5. 10 and TURBO C2. 0. DSP_MATLAB contains nearly 100 written using MATLAB signal processing procedures, which are most of the various chapters of the book examples, using MATLAB6.1.)

power spectral density of signal codes for communication engineering students to understand the concept of statistical analysis.

说明：  直方图添加与去除椒盐噪声和高斯噪声并进行对比，以及直方图均衡化的matlab程序实现代码 (Add the histogram and remove the salt and pepper noise and Gaussian noise and contrast, and histogram equalization matlab program code)