LDPC_code_principle

about watermarking for images and text

利用两幅图像对物体进行重建，基于计算机视觉的(two view reconstruction)

说明：  contrast streching matlab code

该软件包括自适应时频分析的计算内 核及Matlab 交互脚本.使用了 GUI 交互界面，可允许用户进行更多、更加直观的控制操作，可在Matlab 命令行直接敲入 tfagui 进入交互界面。(The software includes adaptive time-frequency analysis calculation Nuclear and Matlab interactive script. Using the GUI interface, allowing users more and more intuitive control operation, can be directly in the Matlab command line type tfagui into the interface. )

说明：  目标视频跟踪的基础，kcf的matlab版，可使用otb工具箱(The basis of target video tracking, the matlab version of KCF, can use OTB toolbox)

香农编码和译码，程序内有详细的编写说明文字哟。(Shannon coding and decoding, the program contains a detailed write captions yo.)

clear case 的操作，如check in check out (clear case handle client check in check out )

此程序是用来计算HRV的非线性参数：分形维数和近似熵(The program is used to calculate HRV nonlinear parameters: fractal dimension and approximate entropy)

说明：  Leslie模型实例：基于Leslie矩阵的算法，同时将人口按10年一组分成m个年龄段，并根据一些影响人口数量和结构的重要因素（建立模型。再根据我国近十年的二孩出生率的实际情况并结合少数民族不受影响的因素，通过Matlab画出拟合曲线对2017-2030年我国每年人口总数做出预测。此后，根据近十年0-14岁、15-64 岁、65岁及以上三个年龄段的人数，计算出人口抚养比，用Matlab预测至2030年的人口结构。为了使预测更加精确，我们还将夫妇的生育意愿考虑到模型当中。(Based on the Leslie matrix algorithm, the population is divided into m age groups according to a group of 10 years, and according to some important factors that affect population size and structure Modeling. Then according to the actual situation of the birth rate of second-born children in China in the past ten years and combining the factors that are not affected by ethnic minorities, drawing a fitting curve through Matlab will make a prediction for the total population of China in 2017-2030. After that, based on the number of people aged 0-14, 15-64, and 65 years of age in the last ten years, calculate the dependency ratio of the population and use Matlab to predict the population structure by 2030. In order to make the prediction more accurate, we also consider the couple's fertility intention in the model.)

陈阳泉教授以及其他学者的有关分数阶PID方面的 论文；经典值得学习，与大家共享；仿真以Matlab为主(Papers Fractional PID aspects related to Professor Chen Yangquan and other scholars classic worth learning, shared with everyone simulation in Matlab-based)