crc-a-guide-to-matlab-object-oriented-programming

Matlab guide for fundamental research in communication

An example to understand sampling of continous wave and fft

一、 本程序采用16QAM调制方式，对一串2进制信源进行调制，采用（7，4）循环码对信源做信道编码，用升余弦滚降函数进行基带调制，再调到高频信道；在信道上加入高斯白噪声，运用匹配滤波器解调，画出解调星座图，运用最小欧氏距离译码判决，再对信号进行信道解码，画出采用信道编码技术和不采用信道编码技术的误比特率图。(First, this program uses 16QAM modulation mode, for a string of two binary source is modulated, using (7,4) cyclic code of the source-channel coding to do with a raised cosine roll-off function for base-band modulation, and then transferred to a high frequency channel in the channel by adding Gaussian white noise, the use of matched filter demodulation, demodulation constellation plot, using the minimum Euclidean distance decoding decision, and then right channel signals, decoding, channel coding techniques used to draw and non- channel coding techniques using bit error rate plans.)

电阻式处理炉温控系统设计,simulink仿真单回路系统以及串级系统和simith预估控制系统设计。(Resistive treatment furnace temperature control system design, simulink simulation of single-loop system, and a cascade system and simith predictive control system design.)

线性分类器的matlab源码，可以实现多累分类(Linear classifier matlab source, multi-tired classification)

书籍《MATLAB应用程序接口用户指南》主要介绍了matlab与c、c++、fortran等程序的混合编程以及matlab网络化编程知识(Books " MATLAB Application Program Interface User' s Guide" introduces the matlab and c, c++, fortran other procedures matlab mixed programming and network programming knowledge)

说明：  Matlab数理统计工具箱应用简介，适合于初学者。(Application of Mathematical Statistics Toolbox Matlab Introduction )

该程序实现了彩色图像到RGB以及YUV分量的转化，思路清晰，可直接运行。(The program implements the image to RGB and YUV color component transformation, clear, can be directly run.)

脱机手写体识别Matlab源程序 包括特征提取、bayes分类器、K近邻分类及最近邻分类。 TestScriptRecognition.m：测试代码 ScriptFeaExtract.m ：特征提取 KNearestEstimate.m ：K近邻估计 NearestEstimate.m : 最近邻估计 BayesTrain.m ：训练bayes分类器 Bayes.m ：测试bayes分类器 CrossValidate.m ：m交叉验证 (Offline Handwriting Recognition Matlab source including feature extraction, bayes classifier, K-nearest neighbor and nearest neighbor classifier. TestScriptRecognition.m : ScriptFeaExtract.m test code : Feature Extraction KNearestEstimate.m : K-nearest neighbor is estimated NearestEstimate.m : nearest neighbor is estimated BayesTrain.m : Training bayes classifier Bayes.m : Test bayes classifier CrossValidate.m : m cross-certification)

MATLAB7辅助控制系统设计与仿真 附录D(MATLAB7 Auxiliary Control System Design and Simulation of Appendix D)