VC-and-MATLAB

finding cohesion metric for the given pgm

计算高斯光束束腰半径调节compute guassian beam (compute guassian beam )

this code shows the stbc model fluctuation.................................................

基于Matlab_6．x的Kalman滤波器的设计与仿真,...........(Matlab)

说明：  一种高效的应用于MIMO检测的球形算法。适用于N-by-N QAM 调制。(an effective MIMO system deteciton algrithom ,which is applied to N-by-N transeiver with QAM modulatuion.)

UAV Pioneer dosent work

混沌映射(序列)matlab算法“小全”：Logistic、Henon、帐篷、kent(含混沌二值图像生成函数)的matlab程序(Chaotic map (sequence) matlab algorithm " Souvenir" : Logistic, Henon, Tent, kent (including chaotic binary image generating function) matlab program)

仿真了跳频系统中并行捕获的性能，希望对大家有帮助(parallel acquisition )

说明：  I/O RW 程序。 。 。 。 。(I/O RW program. . . . .)

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.