ParIdDemo

说明：  对调色板,图像类型,图像文件格式进行了简要介绍，可以了解matlab工作环境。(On the palette, image type, image file format was introduced, we can understand matlab work environment.)

用matlab语言编写的最小生成树的prim算法的通用源程序。(Using matlab language prim)

用matlab完成计算机控制中的连续系统与离散系统的实验，其间用到了关于控制技术中的各种函数，附带实验报告！(Matlab completed by computer-controlled experiments in continuous systems with discrete systems, during use of the various functions on the control technology, with a test report!)

《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：  此程序用来仿真多径信道,希望能有所帮助，运行稳定。(Simulation of the process used to multi-path channel, hoping to help, running stable.)

说明：  几个非常经典的实例演示，手把手教授，学习遗传算法的非常好的帮手。(Your best assistance in studing GA algorithm ！by case study)

用Higuchi方法计算时间序列或波形的分形维数。(Higuchi method to calculate the fractal dimension for time series or waveform)

说明：  人脸检测的一个matlab程序，运行良好。(face detection based on matlab)

说明：  在comsol中计算石墨烯条带的示例，包含comsol文件以及对应的matlab函数(Calculation method of graphene ribbons)

　　　近20年来，阵列信号处理已成为信号处理的一个重要分支，本次实验就是通过MUSIC（Multiple Signal Classification）算法对混叠有高斯白噪声的双信源信号进行频谱分析。(Space there is more than one letter (No.) source, it is often necessary to separate these signals in order to track or detect the spatial signal we are interested in, inhibition of those who are considered interference signal. To this end, the need to use the antenna array to receive multiple spatial signal analysis and processing of the the spatial signal received by the antenna array known as array signal processing. The past 20 years, array signal processing has become an important branch of signal processing, this experiment is the MUSIC (Multiple Signal Classification) algorithm aliasing Gaussian white noise dual source signal spectrum analysis.)