ObjectiveFidelityCriteria

北斗二代接收机中的跟踪程序，模块有载波环（二阶FLL，三阶PLL），FLL辅助PLL,码环是用二阶DLL，再用载波环辅助码环(Compass II receiver tracking program, module carrier ring (second-order FLL, the third-order PLL), FLL auxiliary PLL, code ring is by Second DLL, then the carrier ring auxiliary code ring)

基于光流的图像匹配程序，其中有经典的光流计算中的x,y,t的梯度函数，可以用其它主程序调用此函数(Optical flow-based image matching procedures, including the classic optical flow calculation of x, y, t of the gradient function, the main program can call this function in other)

绣花问题是连续型的填充，在不同区域的缝制过程中，缝针不能提针，因此不能用一般的离散型区 域填充方法处理。本文运用几何计算和图论理论提出了一个绣花缝针轨迹自动生成算法：先对轮廓走向进行 定义，通过轮廓铅垂方向的局部极值点的分割线将图案从上向下进行分割，采用交点的特征值比较彻底的解 决了分割时的重点问题，将图案区域准确的划分成缝针能一次完成的若干个节点。在此基础上根据节点的邻 接关系建立节点的邻接“图”，通过图论中半哈密尔顿路径或深度遍历方法找到节点的遍历（缝制）序列和每 个节点的缝制方向，最后可对设定的起点、终点和缝针间隔的条件自动提供缝针的走向轨迹。(In the process of embroidering, needle can not hang up for changing to a different area. Therefore, Embroider problem could be abstract as a continuous area-filling work. Considering disperse area-filling methods can not process this problem well. Based on geometry computing and graph theory, an algorithm of finding path of embroidering needle are proposed in this paper. First, outline orientations are defined, and finding all local extreme points of inner outline on their gravitational orientation to build sectioning lines so as to divide the picture. By using intersection point character the overlap point problem was solved perfectly. Therefore, the picture is divided into some nodes which can be finished alone. Then, based on connections of these nodes, an adjacency graph of nodes was built. Using half-Hamilton path or depth-first search method, both embroidering sequence and direction of these nodes could be got from the graph. Finally, from a defined start-point, end-point)

利用经典PM模型在matlab上运行的图像降噪程序(Image denoising program based on classical PM model)

主分量分析对SAR图像目标进行特征提取，用最近临方法进行分类(Principal component analysis（PCA） of SAR image target feature extraction, classification using nearest-neighbor method)

图像重采样，根据新旧图像像元大小的比例进行图像的重采样，(This function resamples the images at the new grid points defined by the new pixel sizes. It assumes that intensities are defined at the pixel centers)

对图像灰度二值化，提取图像中某个色彩的部分并分割(The image is binarized and the part of a color in the image is extracted and segmented)

基于MeanShift算法将图像进行平滑处理去噪并分割(MeanShift algorithm based on smoothing the image de-noising and segmentation)

说明：  在稀疏域中，基于迭代阈值的线性反转问题，Daubechies 的经典外文文章，用于压缩感知(In the sparse domain, iterative threshold-based linear inversion problem, Daubechies classic foreign language articles for compressed sensing)

这是人脸识别，用MATLAB实现，非常好的东东哦(This is the face recognition, MATLAB, very good Eastern oh)