svpwm

本文件是用matlab编写的俄罗斯方块，还挺好玩的哦(This document is written using matlab Tetris kinda fun!)

实现谱减法，很实用，有四种图形显示，带颜色的，可以直接调用，需要voicebox工具包(o achieve spectral subtraction, it is practical, four graphic display, with color, you can directly call, you need the voicebox toolkit)

此为一篇介绍mcmc方法的外文文献 非常适合刚刚接触mcmc方法的初学者(This paper introduces the readers of the Proceedings to an important class of computer based simulation techniques known as Markov chain Monte Carlo (MCMC) methods. General properties characterizing these methods will be discussed, but the main emphasis will be placed on one MCMC method known as the Gibbs sampler. The Gibbs sampler permits one to simulate realizations from complicated stochastic models in high dimensions by making use of the model’s associated full conditional distributions, which will generally have a much simpler and more manageable form. In its most extreme version, the Gibbs sampler reduces the analysis of a complicated multivariate stochastic model to the consideration of that model’s associated univariate full conditional distributions.)

some thing more for MIMO

lingo入门教程，附有很多基础命令以及简单问题的分析，求解。例如病人吃饭，场地选址，渡河问题，人员相容问题，顺序安排工作问题，最短路线等等。(lingo Getting Started tutorial, with a lot of basic commands and a simple analysis of the problem, solution. For example, patients eat, site selection, cross the river issues, staff compatibility issues, the issue of work order of the shortest route and so on.)

说明：  it is matlab source code implemeted in Matlab 7.6. this is utilized in matlab.

Generalised Cross Correlation Algorithms. It is useful to estimate the time delay in almost all situations

说明：  rbf神经网络自适应控制matlab仿真实例(Matlab simulation example of RBF neural network adaptive control)

经典游戏超级马里奥，matlab *.m文件，已经验证可以正确运行并出现图形界面。(Classic game Super Mario matlab m file. It has been verified to run correctly and the graphical interface emerged.)

Non-Causal IIR Filter Part 1: Setting up the Input signal to the Wiener Filter Part 2: Seperating the negative lags and positive lags... The one at 0 index is clustered together in the positive part highqq