radar-signal-simulation

该文件是关于图像处理的ppt文件，不需要任何语言基础，适合所有的编程爱好者。(ppt file about image processing.useful for programmer regard of programing language)

matlab program for power system three phase faults

图像拼接Matlab程序，基于块匹配的全景图像拼接(Image mosaic Matlab program, based on block matching panoramic image stitching)

通过遗传算法实现卫星网络中继卫星资源调度的相关代码(Satellite network by genetic algorithm to achieve satellite resource scheduling related code)

说明：  里面有MATLAB的SVM工具箱和基于wine的数据分类程序源代码，可实现数据的分类(SVM Toolbox of MATLAB)

matlab2009a 破解文件 最新版(matlab2009a crack new edition)

自己练习用matlab语言编写的信号捕捉程序(Practice their own language with matlab signal capture process)

code to get optical flow using gradient cross correlation method

In this session, I will focus on the gridding method for fast image reconstruction from non- Cartesian data [1-5]. While gridding is not the only game in town, it is the reconstruction of choice when reconstruction time is an issue. Other reconstruction techniques include rBURS [6] and non-Cartesian iterative methods [7,8]. Non-Cartesian iterative methods generally use gridding and inverse gridding as their core operation, so even when gridding is not the right solution for an application, an understanding of gridding can be useful. I will cover the main steps of the gridding algorithm and then discuss some implementation tips that can signicantly reduce the computation time. Finally, I will present some illustrations and viewpoints that I have found to aid in an intuitive understanding of the gridding method, which can be helpful when designing the density compensation function and judging the appropriateness of gridding as a solution for a particular application.

说明：  混沌工具箱（matlab）: 产生混沌时间序列 求时延(delay time) 求嵌入维(embedding dimension) 求关联维(correlation dimension) 等等.....