2.5

这是功率谱估计MVDR算法的实现，代码能仿真成功(This is the power spectrum estimation in MVDR algorithm, the code can be successful simulation)

model of PID for Inverted Pendulum

该程序利用MATLAB语言编写，实现了对电力系统的潮流计算。(The program uses the MATLAB language, the realization of the trend of computing power system.)

使用matlab里的函数来提取Gabor小波特征(Matlab function to use in feature extraction Gabor wavelet)

逆合成孔径雷达，互相关法包络对齐，单特显点法初相校正，Matlab仿真。(Inverse Synthetic Aperture Radar，Cross-correlation envelope alignment，Special single-point method significantly early phase correction。)

Speed sensorless control of 3-phase induction motor using MRAS speed estimato

robotic code fore rotation

说明：  matlab .M函数库，自己整理的，我用的很好，朋友们能参考一下(matlab. M library, his finishing, I use the good friends who can refer to)

说明：  QPSK调制方式的simulink仿真程序，文件格式为.mdl(QPSK modulation in simulink simulation program, the file format. Mdl)

该算法用于自回归输入模型，是一种迭代的算法。其基本思想是基于对数据先进行一次滤波处理，后利用普通最小二乘法对滤波后的数据进行辨识，进而获得无偏一致估计。但是当过程的输出信噪比比较大或模型参数较多时，这种数据白色化处理的可靠性就会下降，辨识结果往往会是有偏估计。数据要充分多，否则辨识精度下降。模型阶次不宜过高。初始值对辨识结果有较大影响。(The algorithm used for autoregressive input model, it is a kind of iterative algorithm. The basic idea is based on data to conduct a filtering processing, after using ordinary least square method to identify the data filter, and then obtain unbiased consensus estimates. But when the process output signal-to-noise ratio is larger or model parameters are too, this kind of data white processs reliability will drop, identification results tend to be biased estimate. Data should fully, otherwise the identification accuracy down. Model order time shoulds not be too high. Initial value to identification results have great influence on.)