small-signal-stability

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)

贝叶斯参数估计 输入：train_patterns, train_targets, sigma 输出：均值，协方差(function [mu, sigma] = Bayesian_parameter_est(train_patterns, train_targets, sigma) )

GPS卫星中的C/A码发生器的matlab仿真。以及，C/A码自相关与互相关的验证。(Matlab simulation of C/A code generator of GPS satellite is done. Then the character of C/A code is verified.)

Simple merge of two Simulink models, hilighting differences.

UFMC的框架代码程序，可以提供研究UFMC的朋友参考。(The framework of UFMC.)

this is the echo cancelation using lms adaptive filter

用MATLAB实现OFDM的系统仿真程序(about ofdm matlab simulator)

说明：  使用matlab仿真三维物点的透视投影成像(perspective projection )

地统计学中使用MATLAB做球状模型拟合代码(To use MATLAB to do statistical model fitting spherical code)

This package realizes parallel processing on multiple coresmachines