matlabff2

Mean Shift 这个概念最早是由Fukunaga等人[1]于1975年在一篇关于概率密度梯度函数的估计中提出来的,其最初含义正如其名,就是偏移的均值向量,在这里Mean Shift是一个名词,它指代的是一个向量,但随着Mean Shift理论的发展,Mean Shift的含义也发生了变化,如果我们说Mean Shift算法,一般是指一个迭代的步骤,即先算出当前点的偏移均值,移动该点到其偏移均值,然后以此为新的起始点,继续移动,直到满足一定的条件结束. 用matlab实现mean shift算法仿真(Mean Shift the concept was first used by Fukunaga et al [1] in 1975 in an article on the probability density function estimation of gradient raised its original meaning, as its name implies, is the offset of the mean vector, where is the Mean Shift a noun, it refers to a vector, but with the Mean Shift the development of the theory, Mean Shift the meaning has changed, if we say that Mean Shift algorithm, generally refers to an iterative steps, namely, first calculate the current point Mean offset, move the shift points to its average, and then as a new starting point and continue to move until the end to meet certain conditions. realize using mean shift algorithm matlab simulation)

等式约束 Newton下降法 Matlab的实现(Newton descent method applied in equality constrain optimization and realized with Matlab)

自己写的，很有心得，还往大家多多支持，谢谢！(Write your own, very learned, but also to the generous support of everyone, thank you!)

外国人写的多变量MIMO预测控制源代码.可以与我们的比较下。(Foreigners write multivariable MIMO predictive control with our source code. Can compare.)

说明：  RANSAC的MATLAB工具包，MATLAB下实现了多种SAC算法(GML RANSAC Matlab Toolbox v 0.1)

Understanding Star Grounding

基于Matlab的点云三维重建代码程序,以实现从kinect深度图到点云，再进行三维重建的过程。(Matlab-based point cloud reconstruction program code to achieve kinect depth map the point cloud, and then the process of three-dimensional reconstruction.)

说明：  使用遗传算法求解TSP问题,文档文件里为坐标点，.m文件为程序源代码。(Genetic Algorithm for Solving the TSP Problem. )

来自国外的2D phase unwrap 的matlab源码。基于branch cut(剪枝法) 及FloodFill（洪泛法）实现。速度很快。相位解卷绕精度高。(2D phase unwrap from abroad matlab source. Based branch cut (Pruning) and FloodFill (flooding method). Fast. Phase unwrapping high precision.)

进行多目标跟踪的matlab程序，单传感器，两个目标的JPDAF算法(Matlab program used for multitarget tracking ,single sensor,two target JPDAF algorithm)