Formats-of-pictures

这是用SIMULINK的S-FUNCTION方式编写的系统仿真代码，系统是基于4G网络的核心技术空时分组编码的MIMO-OFDM通信系统的，涉及到空间分集、时间分集和频率分集的有机结合，包括QPSK调制解调、IFFT调制、控制编解码、基于训练符号的信道估计等通信模块。包括main_STBC_MIMO_OFDM和training_symbol两个M文件和一个DOC文件，对各部分的都有详细的代码和注释。(It is used SIMULINK the S-FUNCTION approach to the preparation of the system simulation code, the system is based on the 4G network s core technology space-time block coded MIMO-OFDM communication system, involving spatial diversity, time diversity and frequency diversity of the organic combination, including QPSK modulation and demodulation, IFFT modulation, control of encoding and decoding, symbol-based channel estimation training and other communication module. Including main_STBC_MIMO_OFDM and training_symbol two M file and a DOC file, have detailed the various parts of the code and comments. )

VB与matlab混合编程，实现VB与matLAB数据传递，完成相关编程(VB and matlab mixed programming, data transfer between VB and matLAB, complete the relevant programming)

MATLAB SIMULINK通信仿真系统，带有可执行文件和文档，可供参考修改(MATLAB SIMULINK communication simulation system with executable files and documentation is available for reference modification)

Histogram equalizationHistogram equalizationHistogram equalizationHistogram equalizationHistogram equalization

Data Abstraction & Problem Solving with C++源码(Data Abstraction )

说明：  this is haar wavelet coding

电力系统标准测试系统，30节点系统，格式完全正确，可以方便的用来分析计算。(Power system standard test system, 30-bus system, the format entirely correctly, can easily be used to analyze the calculation.)

基于MATLAB 的状态反馈极点配置函数设计，极点配置分析，全阶观测器设计分析(MATLAB-based state feedback pole assignment function design, pole placement analysis, design and analysis of full order observer)

例1 采用动量梯度下降算法训练 BP 网络。 例2 采用贝叶斯正则化算法提高 BP 网络的推广能力。在本例中，我们采用两种训练方法，即 L-M 优化算法（trainlm）和贝叶斯正则化算法（trainbr），用以训练 BP 网络，使其能够拟合某一附加有白噪声的正弦样本数据。(Example 1 uses the momentum gradient descent algorithm to train the BP network. Example 2 uses the Bayesian regularization algorithm to improve the generalization ability of BP network. In this example, we use two training methods, the LM optimization algorithm (trainlm) and the Bayesian regularization algorithm (trainbr), to train the BP network to fit a sine sample with white noise data. )

伪速率脉冲调制器的稳定性分析，通过绘制系统的Nichols图，分析柔性振动对主轴的影响(the stability anslysis of pseu-speed pusle modulator)