wave

压缩感知中基追踪重构方法，用于稀疏信号的重构，本程序用于图像重构(Based tracking in compressed sensing reconstruction methods for sparse signal reconstruction, the procedure used for image reconstruction)

该软件提供了无标度网络的的生成matlab程序，带有附注说明。(Scale-free networks generated matlab program, with explanatory notes, has been verified.)

精通Matlab综合辅导与指南-源程序，包含大量实用程序，对提高MATLAB很有帮助(Proficient in Matlab comprehensive counseling and guidance- source, contains a wealth of practical procedures to improve the MATLAB helpful)

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)

说明：  基于MATLAB的M文件，探究扰动之后线性方程组的解得病态问题(MATLAB-based M files to explore the linear perturbation equations were ill-posed problem)

IIR FILTER DESING IN MATLAB

说明：  comsol 案例，值得拥有，微纳光力案例(Comsol case, worth having)

file函数说明，用于matlab 很好很强大(function description file for matlab very very strong)

使用matlab来处理各种格式的数字图像(use matlab to process image)

说明：  多径多普勒信道模型，包括快衰落，慢衰落，频率选择性衰落，平坦衰落等(Multipath Doppler channel models include fast fading, slow fading, frequency-selective fading, flat fading, etc)