IYTE_170206019

使用robotic toolbox 可自行定义1至7自由度的机器人，并显示和移动 可以输入任意机器人参数，注意sigma=0是旋转关节，sigma=1为平移关节(Use robotic toolbox definable 1-7 DOF robot, and display and mobile robot can enter any parameters, note sigma = 0 is rotating joints, sigma = 1 for translational joints)

ELSEVIER上关于Retinex图像增强算法的最新文章(ELSEVIER About Retinex image enhancement algorithm on the latest articles)

优化 Bitmap的小程序 希望对大家有用我人有很有借鉴意义(Optimize the Bitmap small program hope useful for everyone I have a lot of reference)

李萨如图形，改变振幅比，频率比可以得到不同的图形组(Lissajous figure, changing the amplitude ratio, frequency ratio can be different from the graphic group)

包括回归分析和概率统计，是信号处理的基础，小波包分析提取振动信号中的特征频率。( Including regression analysis and probability and statistics, Is the basis of the signal processing, Wavelet packet analysis to extract vibration signal characteristic frequency.)

本人做的关于pwm整流器和逆变的控制方案仿真，方便初学者学习(Control programs on the rectifier and inverter pwm I do simulation, easy for beginners to learn)

用Argo的netCDF文件计算海洋混合层和障碍层深度并通过M_Map工具包画出全球海洋MLD和BL的分布图。 P.S.: 1.需先安装m_map的toolbox。2.混合层及障碍层的定义参考Clément de Boyer Montegut, et al. "Mixed layer depth over the global ocean: An examination of profile data and a profile‐based climatology." Journal of Geophysical Research: Oceans 109(2004).(Use netCDF file to calculate the mixed layer and barrier layer and draw the global distribution figures with m map in matlab 1Please install m_map toolbox first 2The definitions of mixed layer and barrier layer used is provided by Montegut, et al 2004: Mixed layer depth over the global ocean: An examination of profile data and a profile based climatology.)

在DCT域，利用8*8分块DM方法，嵌入隐藏信息。可设置量化步长、选择各种经典的攻击方式和控制攻击强弱。返回误码率和峰值信噪比。利用Matlab编写。(In the DCT domain, the use of 8* 8 block DM methods, embedding hidden information. Quantization step size can be set to choose a variety of classic attacks and control the strength of the attack. Return to the bit error rate and peak signal to noise ratio. Prepared using Matlab.)

《滑模变结构控制MATLAB仿真》里的源代码，对学习滑模变技术相当有用！(" MATLAB Simulation of sliding mode control" in the source code, the sliding mode technique is useful to learn!)

说明：  采用卡尔曼滤波器的PID控制。控制干扰信号与测量噪声信号幅值均为0.002的白噪声信号。采用滤波器是控制效果明显改善。 (Discrete Kalman filter for PID control)