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这是本论文的仿真部分，是对MIMO系统理论的验证。本论文将分别从两种情况来对系统进行仿真：不同的信噪比下，发射天线数 为4，接收天线 逐渐增大；不同的信噪比下，接收天线 为4，发射天线数 逐渐增大。然后分别绘出他们的仿真图，并对它进行分析(This is the simulation part of this paper is to verify the theory of MIMO systems. In this paper, two cases will come from the system simulation: different signal to noise ratio, the number of transmission antennas is 4, the receiving antenna is gradually increasing different signal to noise ratio, the receiving antenna 4, gradually increasing the number of transmission antennas Great. And then mapped to their respective simulation map, and analyze it)

说明：  关于在静态EEG中的ERP提取，主要用ICA 工具平台是EEGLAB 工具箱(EEG on the ERP in the static extraction, the main tool platform with the ICA is EEGLAB Toolbox)

说明：  拟合温度曲线，变量是温度和控制电压，控制温度在一定范围内(control system temperature)

this matlab code operate histogram equalization based on probability

运用isight软件用ansys分析，省时省事(from isight to ansys)

fft spectrum audio file

基于matlab 2010rb搭建的buck-boost chopper直流变换器升降压斩波电路仿真模型，调试通过，适合本科生学习电力电子技术仿真。(2010 rb based on matlab to build the buck- boost chopper dc converter buck chopper circuit simulation model, debugging through, suitable for undergraduate study power electronic technology simulation.)

MATLAB Simulink Conference2007_Track2-2

center of circle usin circum points

Knowledge of the process noise covariance matrix is essential for the application of Kalman filtering. However, it is usually a difficult task to obtain an explicit expression of for large time varying systems. This paper looks at an adaptive Kalman filter method for dynamic harmonic state estimation and harmonic injection tracking.(Knowledge of the process noise covariance matrix is essential for the application of Kalm an filtering. However, it is usually a difficult task to obtain an expli cit for large expression of time varying system s. This paper looks at an adaptive Kalman filter method for dynamic estimation a harmonic state nd harmonic injection tracking.)