16QAM_mimo-ofdm

Affine Scale Invariant Feature transform..

Mimo and wimax simulation

说明：  该仿真模型是用来提取单机无穷大系统发生故障短路各线路三相电压的最大值(The simulation model is used to extract single machine infinite bus system short-circuit failure of the maximum three-phase voltage of each line)

一种关于ADI-FDTD新的算法程序，程序运行良好。(A new ADI-FDTD algorithm program, the program runs well)

简单的粒子群算法，matlabR2010b测试可以使用，对于初学者是很好的程序(Simple particle swarm optimization algorithm, the matlabR2010b test can be used, for beginners is a very good program.)

此函数可以实现MATLAB，智能天线方向图函数程序的画法并且可以通过改变参数得到不同的方向图(Smart antenna pattern function MATLAB program)

ofdm 64QAM simulink ofdm 64QAM simulink

The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order (The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order)

很好用的，生成归零码的程序，速度快， (R-Z code )

用matlab进行科学计算和工程应用的教程(Using matlab tutorials scientific computing and engineering applications)