exam2

差分法比较曲线的形状相似度，接着筛选出有用曲线求相位差，给了原始数据，可以直接运行(Difference Method for curve shape similarity, then filter out the demand curve useful in phase, to the raw data, can run)

Lukas-kanade motion estimation (optical-flow)

使用iwr16xx雷达板进行人体摔倒检测(Fall detection, useTI iwr16xx board)

MATLAB Code for MIMO Receiver design

為jacobi與gauss seidal迭代法 只要把A,b,N更換成你要的即可(To jacobi and gauss seidal iterative method as long as the A, b, N you want to replace)

有序无序转变的计算机模拟——MC算法 一个样品做实验，从低温有序相，逐渐升温，到高温无序相。 模型假设： 1 模拟三维简单斜方，AB型合金，共有M*N*L个原子； 2 最邻近假设，即只考虑最邻近原子之间的相互作用，次邻近和更远的原子之间的作用忽略（误差较大）， ，在简单斜方中，最邻近原子数z=6； 3 只考虑势能的作用，AA，BB，AB原子间的作用用Eaa,Ebb,Eab=Eba表示 且忽略振动能（原则上，温度很高时，不能忽略）等； 4 各原子之间的相互作用独立，即各化学键相互独立； 5 边界原子任然周期排列，只不过，邻近原子数减小，能量较高；边界面上的原子z=5；线 上的原子z=4，顶点上的原子z=3；由于顶点上只有四个原子，算法中不考虑这种情况； 6 其它假设。( Order-disorder transition of computer simulation- MC algorithm a sample experiment, from the low-temperature ordered phase, gradually warming up to a high temperature disordered phase. Model assumes that: 1 of three-dimensional rhombic, AB-type alloy, a total of M* N* L atoms 2 nearest the assumption that only consider the interaction between the neighboring atoms, and further sub-adjacent atoms ignore the interaction between the (larger error), , in the simple oblique Fang, nearest neighbor atoms, z = 6 3 only consider the potential role, AA, BB, AB interatomic with Eaa, Ebb, Eab = Eba representation and ignore the vibration energy (principle, the temperature is high, it can not be ignored), etc. 4 each atom interactions between independent, which means that each bond independently 5 boundary periodic arrangement of atoms in any course, but , adjacent atoms decreases, the higher energy boundary atomic plane z = 5 atoms on line z = 4, the vertex atoms z = 3 only four)

说明：  模拟潮流计算中支路断开导致潮流越限的情况 切负荷处理(about power flow and load shed)

helical gear. it solution of helical gear problem

说明：  用matlab实现世界地图调用和显示，可以任意控制范围(using Matlab world map and calls, it can be arbitrary control)

利用独立分量分析中的FastICA算法对盲信号源进行了分离。最终通过实验结果表明，独立分量分析可以有效地实现分离。(FastICA algorithm using independent component analysis and blind source separation. Eventually through the experimental results show that the independent component analysis can be effectively separated.)