multi-rate-conversion

Among the high-complexity methods, two methods dominate the literature Kalman filtering and Mixture of Gaussians (MoG). Both have their advantages, but Kalman filtering gets slammed in every paper for leaving object trails that can t be eliminated. As this seems like a possible deal breaker for many applications, I went with MoG. Also, MoG is more robust, as it can handle multi-modal distributions. For instance, a leaf waving against a blue sky has two modes—leaf and sky. MoG can filter out both. Kalman filters effectively track a single Gaussian, and are therefore unimodal: they can filter out only leaf or sky, but usually not both.

FIR 滤波器的低通，带通，高通实现，matlab(FIR using matlab)

this MATLAB Script simulate Poiseuille_flow and compare the result with analytical answer

对于卫星系统的优化，目前比较前沿的是基于多学科优化(MDO)的方法，文中重点对此方法进行了介绍。(For the satellite system optimization, more cutting edge is based on the current multi-disciplinary optimization (MDO) methods, the paper focus on this method were introduced.)

Weighted maximum matching ，图论中的计算。 matlab与C++ 混合编程，如果运行出现问题，请将所有Weighted maximum matching 函数换成 mWM(Weighted maximum matching for graph)

用S函数实现的电导增量法，可以对方便修改为变步长电导增量法(S function realization of conductance increment method)

使用PSO算法求解适应度函数fitness的极值。fitness可以自己任意定义。(PSO algorithm using the fitness function fitness of the extreme value. fitness can define their own arbitrary.)

刚度矩阵集成的程序，使用matlab编制，上传的是m文件(GridAssemble)

ssinc窗函数对正弦信号加不同的窗函数进行性能比较(ssinc)

B-Spline Surface (with redundant points) Least-Squares Fitting of both Positions and Normals.