cgsvd

Magnetic levitation controller

包含一些通信系统的仿真程序 包括时间分集，频率分集，二时二频分集(Communication system contains some simulation program including time diversity, frequency diversity, frequency diversity two two)

基于simulink的SVPWM仿真，自己编写的，最后还差一个三相桥，大家可自行加上(Based on SVPWM simulation simulink, I have written, and finally a three-phase bridge worse, we can add their own)

mcmc 马尔可夫链 蒙特卡罗算法 具体参数 请用help命令(MCMC Markov chain Monte Carlo algorithm specific parameters Please help command)

A Variable-Speed Sensorless Drive System for Switched Reluctance Motors

high gain observer article

可以用来求复合半导体能带随着偏压的变化情况，可以考虑到interface charges(Can be used for compound semiconductor energy band changes with the bias, you can take into account the interface charges)

pss matlab simulink model with practical paramiter

此函数中主要给出了如何实现MRI体数据的可视化，详细的给出了如何实现的步骤；(This function is mainly given how MRI volume data visualization, gives a detailed steps on how to achieve )

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.