Simulated-annealing--particle

LaTex,CTex文档编辑器，公式编辑代码，文档中附加漂亮的MATLAB代码，添加目录、附录、页码风格(LaTex, CTex document editor, equation editing code, documentation, add beautiful MATLAB code, add the directory, appendix, page style)

DUFFING方程的混沌时序相空间重构程序(DUFFING equation phase space reconstruction of chaotic time series procedures)

计算长周期光纤光栅的纤芯基膜的有效折射率的程序，很基本(Calculation of long period fiber grating effective refractive index of core-based film program, very basic)

一些常用的CFD差分格式的代码，新学的用起来挺好的(some basic code for cfd )

PROGRAM IS USED FOR Interface matrix keyboard with 8051.

在转速为48K/min时，滚动体的几个时域波形(In speed for 48 k/min, rolling body several time domain waveform )

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)

自己编写的关于MIMO 的瑞利衰落信道仿真程序延时为1 2 4(I have written on the MIMO Rayleigh fading channel simulation program delay for the 124)

OFDM技术及其MATLAB模拟，很好的资料哦，可以快速掌握matlab仿真(the study)

matlab的准线性集合，可以求出线性参数及误差，并且可以得到极值(matlab quasi-linear collection of linear parameters and error can be calculated, and you can get the extreme value)