mcmc

基于分块的人脸图像超分辨率学习算法实验平台，利用学习到的训练集图像信息对低分辨率图像超分辨率，并可以查看超分辨率后的图像块匹配结果（用鼠标双击结果显示窗口中的实验图像），可以设置实验参数。(Block-based face image super-resolution algorithm for the experimental platform to learn, learning to use the training set of low-resolution image information super-resolution images and can view the image super-resolution block-matching results (double-click with the mouse results display window of the experimental images), the experimental parameters can be set.)

获得目标的颜色直方图，并利用巴氏距离比较两颜色直方图间的相似性。(Get color histogram)

matlab,图像分割手势，不是用摄像头的，是将图片输入进去识别使用MATLAB进行图像分割(Matlab, image segmentation gesture, not with the camera, is to input pictures to identify the use of MATLAB image segmentation)

本文提出了一种单相三线（143W） 电网连接photovoItaic（PV）逆变电源与功能 部分有源电力滤波器（武警部队），它不仅可以处理 光伏发电，但过滤电流谐波，提高功率因数。(This paper presents a single-phase three-wire (14 3W) grid-connection photovoItaic (PV) power inverter with a feature of partial active power filter (PAPF), which can not only deal with PV power but filter current harmonics and improve power factor. )

用小波包提取故障特征向量并归一化，很实用，论文里的部分程序(Extracted using wavelet packet fault eigenvector and normalized, it is useful, some of the procedures in the thesis)

图像 自动 标注 通过分析 训练集 ，学习 图像 和标注词 之间的关系，得出 之间的关系，得出 一些规则， 然后使用这些规则 自动 推导出 图像 最适合的标注词 ，这些标注词代表了图像的 ，这些标注词代表了图像的 高层 语义信息 。(Automatic image annotation by analyzing the training set, learning image and mark the relationship between words, the relationship between the draw, draw some rules, and then use these rules to automatically derive the most suitable image annotation words, these words represent the image annotation , these words represent the image annotation level semantic information.)

B样条曲线分为近似拟合和插值拟合，所谓近似拟合就是不过特征点，而插值拟合就是通过特征点，但是插值拟合需要经过反算得到控制点再拟合出过特征点的B样条曲线方程。这里会一次介绍两种拟合算法。

用arnold变换对lena图进行图像置乱(scramble a picture by arnold transformation)

小波消噪 私家珍藏，互联网上其他地方是找不到的(Wavelet Denoising)

说明：  matlab近红外光谱进行掺假判断，运用plsda建模可以进行真假鉴别(The near infrared spectrum of MATLAB is used to judge the adulteration, and plsda modeling can be used to identify the authenticity)