hybrid-DG-scheme

matlab写的简单的联想网络实例，模拟dog,meat,light生物条件反射实验(matlab write simple examples of the association network, analog dog, meat, light on Biological conditioned reflex experiments)

晶闸管 逆变器 基于MATLAB的simulink平台实现(inverter of 6 thyristors)

基于暗原色去雾的图像代码，用了软抠图和另两种改进算法，附加txt说明文档(Based on dark colors to fog image code, with a soft matting, and another two improved algorithms, additional documentation txt)

Gabor小波变换技术对医学CT图像进行纹理特征分类时，由于图像拍摄角度的变化会造成分类的误差。针对以上问题，在Gabor小波变换的基础上提出一种用于分析旋转不变医学图像的方法。该方法采用旋转规范化，即特征元素的循环移位使规范化后所有的图像都具有相同的主方向。实验结果表明，加入旋转规范化循环算子的Gabor小波变换在医学CT图像纹理特征分类时能够达到较好的精确度。(Gabor wavelet transform lacks in its ability to classify the medical CT image if it’s rotation invariant image. Aiming at the problem, an approach is presented for rotation invariant medical texture classification based on Gabor wavelet transform. Rotation normalization is achieved by circular shift of the feature elements, so that all images have the same dominant direction. Experimental result shows that Gabor wavelet transform with circular operator of rotation normalization has well precision to classify the medical CT image.)

用matlab 实现了气缸的充气和放气的仿真，在等温情况和绝热两种情况下分别进行了仿真(Matlab cylinder with a deflated inflatable and Simulation, in isothermal and adiabatic, respectively, both cases were simulated)

calculating focus ratio degradation

正弦波脉宽调制技术（SPWM）相电压波形的产生与实现(Phase voltage waveform of the sinusoidal pulse width modulation (SPWM))

详细介绍了MATLAB与控制工程相关的6个基础工具箱：系统辨识工具箱、控 制系统工具箱、鲁棒控制工具箱、模型预测控制工具箱、模糊逻辑工具箱和非线性控制设计模块。同时提供了MATLAB的一些基础知识。(Details related to MATLAB and Control Engineering of the six basic kit: System Identification Toolbox, Control System Toolbox, Robust Control Toolbox, Model Predictive Control Toolbox, Fuzzy Logic Toolbox and nonlinear control design module. Also provides some basic knowledge of MATLAB.)

混沌映射序列的自相关函数图,用于电机混沌控制(Chaotic maps autocorrelation function map for motor control chaos)

一个很小的小波分解和重构的程序，很简单，适合出血泽学习(A small wavelet decomposition and reconstruction process is very simple, suitable for bleeding Ze learning)