matlab-power-system-simulation

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)

以速度为11m/s沿x轴做匀速直线运动，通过卡尔曼滤波跟踪目标，作出相应协方差图像，内有注释，根据相应功能可更改注释。(At the speed of 11 m/s, we perform uniform rectilinear motion along the X axis. We track the target through Kalman filter and make corresponding covariance images. There are annotations in it, and annotations can be changed according to the corresponding functions.)

学习matlab的好资料第二部分，再此共享下啦。参考参考(Good information to learn the second part of matlab, and then under the shared friends. Reference Reference)

A watermarking scheme for digital images using multilevel wavelet transforrm

noise canceller using lms

这是一个BENDERS 分解的MATLAB 文件(this is a Benders solution document)

matlab code for adaptive

C-means clustering algorithm

二维正态分布的检验函数，如果需要进行二维正态分布的检验，在你的程序运行前运行此程序，就可直接调用函数功能。(Dimensional normal distribution test function, if you need a two-dimensional normal distribution test, run your program before you run this program, you can directly call the function function.)

Reed Muller 2,5 majority logic decoding BER simulations