optimization-algorithm-code

自己编的MATLAB线性规划小程序，分享一下。(Own small linear programming of MATLAB procedures, to share.)

模糊控制规则设计，仿真结果证明控制精度高(Design of fuzzy control rules, the simulation results show the high control accuracy)

Long period Fiber Bragg grating simulation.

matlab对aloha，s-aloha，csma的仿真(matlab pairs of aloha, s-aloha, csma Simulation)

基于非局部均值图像去噪，对高斯加噪声有很好的去除效果，其中的修改程序，加入了对称处理，处理对称图像效果更好(Based on non-local means image denoising, the high Alaska noise removal, which modify the program, joined the symmetrical treatment, processing symmetrical image effect better)

how to plot using fuction "meshgrid", "mesh"

使用最大最小距离进行分群的方法，针对风电场分群进行设计，也可以用于其他分群方法，优点在于可以自动确定分群数量(Using the maximum and minimum distance clustering method for clustering the wind farm designed to be used for other clustering methods, the advantage that it can automatically determine the number of grouping)

Solution Digital Signal Processing Using MATLAB, 3rd Edition

《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.)

说明：  小波变换对脑电信号处理有用，采用db4小波对脑电信号7层分解(Wavelet is useful for EEG signal processing)