MATLAB_plot_mesh_etc_examples

一个matlab手势识别demo，可通过训练，识别剪刀石头布的手势。(A gesture recognition matlab demo, through training, to identify Rock Paper Scissors gesture.)

MATLAB实现huffman编码,可以自由改变输入(Convert a color image into a grayscale)

gps与matlab仿真，模拟卫星的运动,后续程序正在写。(gps with matlab simulation, motion simulation of the satellite, the follow-up program is being written.)

使用MATLAB程序通过18个循环,求最少费用的问题.(new Cumulative )

弹道计算工具，包括文档说明，和相关源代码，好东西(Ballistic calculation tools, including documentation, and related source code, good things)

Communication system with networks

该代码为分布式MIMO天线选择的最优算法，递增算法，递减算法以及基于范数的算法。(The code for the Distributed MIMO antenna selection of the optimal algorithm, incremental algorithm, descending algorithm and norm-based algorithm.)

说明：  一篇讲解关于matlab与vc混合编程的问题。其中的讲解是通过实例来讲的(Matlab with a brief on the problem of mixed programming vc. Which is explained through examples of)

RIMM与IMM的程序比较，就是两中方法比较哪个跟踪效果比较好(RIMM IMM with the procedure, which is two methods which track the results were quite good)

Function reconstructs an estimate of a surface from its surface normals by correlating the surface normals with that those of a bank of shapelet basis functions. The correlation results are summed to produce the reconstruction. The sumation of shapelet basis functions results in an implicit integration of the surface while enforcing surface continuity. Note that the reconstruction is only valid up to a scale factor (which can be corrected for). However the reconstruction process is very robust to noise and to missing data values. Reconstructions (up to positive/negative shape ambiguity) are possible where there is an ambiguity of pi in tilt values. Low quality reconstructions are also possible with just slant, or just tilt data alone. However, if you have full gradient information you are better off with the Frankot Chellappa algorithm below.