MATLAB_PSpice_for_Electronic_Circuits_Ch5

掌握Matlab的流程控制语句，掌握循环结构。 初步学习Matlab的脚本文件、函数文件编写。 初步掌握Matlab脚本文件、函数文件的调试.初步掌握用户参数的交互输入。 (Matlab master process control statements, control loop structure. Matlab script file preliminary study, the function document preparation. Initial grasp of Matlab script file, the file' s debugging function. Initial grasp of the user interactive input parameters.)

改进的灰色预测模型,简单实用，可用于经济预测及其他预测问题，预测精度高 (Improved gray prediction model, simple and practical, can be used for economic forecasts and other prediction, forecast accuracy)

结构分析软件 abaqus 钢与混凝土本构模型 子程序(Structural analysis software abaqus steel and concrete constitutive model subroutine)

blind 多径信道中盲信道均衡的恒模算法(Blind multipath channel blind channel equalization of constant modulus algorithm)

汉 明 码 的 编 码 程 序 ， 经 测 试 好 用(Hamming code encoding process, ease of use have been tested)

相关分析过程的matlab方法，部分实现了追踪测速迭代松弛算法，一些自适应信号处理的算法，搭建OFDM通信系统的框架，用MATLAB实现动态聚类或迭代自组织数据分析，合成孔径雷达（SAR)目标成像仿真，包括 MUSIC算法，ESPRIT算法 ROOT-MUSIC算法。( Correlation analysis process matlab method, Partially achieved tracking speed iterative relaxation algorithm, Some adaptive signal processing algorithms, Build a framework OFDM communication system, Using MATLAB dynamic clustering or iterative self-organizing data analysis, Synthetic Aperture Radar (SAR) imaging simulation target, Including the MUSIC algorithm, ESPRIT algorithm ROOT-MUSIC algorithm.)

说明：  S-函数产生正弦波 文件名：ch2example17.mdl(S-Function generator sine wave file name: ch2example17.mdl)

说明：  use for research in the image processing techniques in medical image processing

QGA_fxy是用量子遗传算法（quantum genetic algorithm）解决二元函数寻优的问题。文件打开后运行QGA_fxy.m文件即可得到结果，代码中有详细注释，方便修改。运行示例已经保存为图片附在压缩包中。(QGA_fxy binary function is to solve optimization problems using quantum genetic algorithm (quantum genetic algorithm). Run QGA_fxy.m file to get the file to open the result, the code has detailed notes, easy to modify. Run the sample has been saved as a picture attached to the compressed package.)

Expectation Maximization algorithm for Gaussian Mixture Model Training