reversiblewatermarking

用comsol做声固耦合的例子，例子的内容是声子晶体的投射系数，对用comsol来计算声子晶体的初学者很不错(Coupled with comsol said anything solid examples, examples of the content is the projection coefficient of phononic crystals, the phonons with comsol to calculate the crystal is very good for beginners)

这是一个实时提升小波，滤波程序，它可以滤除噪声(This is lift wavlet,denoting the note process)

说明：  用Lucy-Richardson算法和约束最小二乘滤波实现了图像去模糊(Image deblurring with LR algorithm and CLS filtering)

说明：  基于高光谱数据集PaviaU的数据降维与分类,基于核函数的主成分分析kpca测试(Dimension reduction and classification based on hyperspectral data set paviau, KPCA test based on kernel function principal component analysis)

IDL编程：tif图像批量layerstacking，并保留原有地图投影。使用时只需要修改输入和输出路径。(IDL programming: tif image batch layerstacking, and retain the original map projection. Only need to modify the input and output paths use.)

matlab输入两幅图像，最直接简单地计算图像psnr，高手者请跳过(matlab input two images, the most straightforward to calculate the image psnr, you are invited to skip)

本文以自主驾驶车辆为实际应用背景．提出了一种改进的ＲＲＴ（快速随机搜索树）路径规划算法．该路 径规划算法将非完整性约束条件与双向多步扩展ＲＲＴ搜索算法相结合，在提高搜索效率的同时保证了规划路径的可 行性．同时将路径点作为Ｂ样条基函数的控制点，用三次Ｂ样条函数来拟合控制点生成平滑可跟踪的路径．通过在平 面障碍物环境下实验，验证了该算法的有效性．(ＡｉｍｉｎｇａｔｔｈｅａｐｐｌｉｃａｔｉｏｎｏｆＡＬＶ（ａｕｔｏｍａｔｉｃｌａｎｄｖｅｈｉｃｌｅ），ａｎｉｍｐｒｏｖｅｄＲＲＴ（ＲａｐｉｄｌｙＲａｎｄｏｍ?ｅｘｐｌｏｒｉｎｇ Ｔｒｅｅｓ）ｐａｔｈｐｌａｎｎｉｎｇａｌｇｏｒｉｔｈｍ ｉｓｐｒｏｐｏｓｅｄ．Ｔｈｅａｌｇｏｒｉｔｈｍ ｃｏｍｂｉｎｅｓｔｈｅｎｏｈｏｌｏｎｏｍｉｃｃｏｎｓｔｒａｉｎｔｓｏｆｖｅｈｉｃｌｅｗｉｔｈｄｏｕｂｌｅｅｘｔｅｎｄ ＲＲＴｓ，ｗｈｉｃｈｎｏｔｏｎｌｙｉｍｐｒｏｖｅｓｔｈｅｅｆｆｉｃｉｅｎｃｙｏｆｓｅａｒｃｈｉｎｇｂｕｔａｌｓｏｇｕａｒａｎｔｅｅｓｔｈｅｆｅａｓｉｂｉｌｉｔｙｏｆｔｈｅｐａｔｈａｔｔｈｅｓａｍｅｔｉｍｅ．Ｔｈｅｐａｔｈ ｐｏｉｎｔｓａｒｅｔａｋｅｎａｓｒｅｆｅｒｅｎｃｅｐｏｉｎｔｓｆｏｒｔｈｅＢ?ｓｐｌｉｎｅｂａｓｉｃｆｕｎｃｔｉｏｎ，ａｐｐｒｏａｃｈａｎｄｃｒｅａｔｅａｎｅｗｓｍｏｏｔｈｒｏｕｔｅｗｈｉｃｈｓｕｉｔｓｆｏｒｔｈｅｖｅｈｉ? ｃｌｅｔｏｆｏｌｌｏｗ．Ｔｈｅｓｉｍｕｌａｔｉｏｎｏｕｔｃｏｍｅｓａｎｄｆｉｅｌｄｔｅｓｔｓｖｅｒｉｆｙｔｈｅｅｆｆｅｃｔｉｖｅｎｅｓｓｏｆｔｈｅｍｅｔｈｏｄｐｒｏｐｏｓｅｄ．)

小波包在信号处理中的应用（信号时频分析、信号消噪、信号压缩）(Wavelet packet in signal processing of the application (signal frequency analysis, signal de-noising, signal compression) )

自己实现的sift特征提取的matlab代码，可以计算特征描述子用于图像匹配，不过速度有点慢(Own implementation of sift feature extraction matlab code to calculate feature descriptors for image matching, but a bit slow)

CNN中的手写识别LeNet5实现，用python，进行了中文注释(CNN handwritten recognition LeNet5 implementation, using python, carried out in Chinese Notes)