meanshift

该文档是自适应信号处理研究的一篇研究生毕业论文，介绍了自适应的几种常见算法，如LMS，NLMS等等，并在最后有相关的MATLAB程序（LMS程序 自适应滤波器，陷波器，分离器等程序）可以作为自适应信号处理初学者的参考资料(This document is an adaptive signal processing graduate thesis introduces several common adaptive algorithms, such as LMS, NLMS, etc., and the final program has an associated MATLAB (LMS process adaptive filter, notch , splitters and other procedures) can be used as a reference adaptive signal processing information for beginners)

基于NCC与SSDA的快速特征点匹配融合算法（图像匹配）(NCC and the SSDA-based feature points matching the rapid integration algorithm (matching))

基于CFAR虚警率的图像分割算法，可快速对灰度图像进行CFAR检测分割。(Based on the false alarm rate of CFAR image segmentation algorithm, the gray image can be fast CFAR detection and segmentation.)

可以进行背景减除法-三帧法-高斯背景建模法运动检测( This file (the project file) contains information at the project level and is used to build a single project or subproject. Other users can share the project (.dsp) file, but they should export the makefiles locally. )

混合输入输出相位恢复算法的小程序，入门学习(HIO phase recovery algorithm small program, learning portal)

实现多层tiff显微图像识别，追踪显微镜下PS微球的坐标并给出颗粒运动轨迹(Multi-layer TIFF micro-image recognition is realized. The coordinates of PS microspheres under the microscope are tracked and the trajectories of particles are given.)

一个求多边形面积的程序 也许会对某些人有用(Area of a polygon for the procedure may be useful to some people)

说明：  利用matlab对多光谱遥感影像进行水体指数（ndwi）以及植被指数（ndvi）提取(Extraction of Water body Index (ndwi) and vegetation Index (ndvi) from Multispectral remote Sensing Images by matlab)

运用harr特征+SRC（稀疏表示）分类实现的一种车辆检测方法，文件中提供了训练和测试车辆图片。由于时间原因，所用haar特征没有优化，维度过高，导致滑窗框图过慢，本代码只输出效果统计数据，以供大家参考学习稀疏表示在车辆检测中的应用。(Using harr feature+SRC (sparse representation) classification to achieve a vehicle detection method, the paper provides a training and test vehicle picture. Due to time reasons, the use of haar feature is not optimized, high dimension, resulting in sliding sash figure is too slow, the effect of the code only output statistics for your reference learning sparse representation in the vehicle detection.)

基于SIFT的一种新特征点匹配算法,比SIFT还强,(Based on SIFT feature points of a new matching algorithm is also stronger than the SIFT,)