05978173

一个介绍matlab的课件，介绍模型的，相信对大家都有用处的，很好的课件。(An introduction matlab courseware to introduce the model, I believe we have a useful, good courseware.)

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)

4RRR运动学相关程序，添加了多种解决方案，也是一个不断变化的图形用户界面，对几乎所有的模拟参数允许使用。 (4RRR kinematics procedures, adding a variety of solutions, but also a changing of the graphical user interface, almost all of the simulation parameters allowed.)

利用GPSR-BB算法重构二维图像，简单易懂。(GPSR-BB algorithm using two-dimensional image reconstruction, easy to understand.)

说明：  修正BBO晶体折射率色散公式中错误的系数 ，完成βBBO晶体Ⅱ类匹配的SPDC（共线情况）并计算相位匹配角。此时的相位匹配角为能 产生纠缠光子对的最小切割角。另附一份参考文献，详细的说明此类实验的步骤与细节。(Correct the wrong coefficient in the refractive index dispersion formula of BBO crystal, complete the type II matching SPDC of BBO crystal and calculate the phase matching angle. The phase matching angle is the minimum cutting angle that can produce entangled photon pairs. In addition, a reference is attached to explain the steps and details of such experiments in detail.)

谱估计源程序：是谱估计中的经典算法基于线阵MUSIC等算法的源程序(spectrum estimation source : spectral estimation algorithm based on the classic line array MUSIC algorithm of the source)

LMS三角定位迭代加权算法 LMS三角定位迭代加权算法 LMS三角定位迭代加权算法(LMS triangulation iterative weighting algorithm LMS triangulation iterative weighting algorithm LMS triangulation iterative weighting algorithm)

地球物理地震数据处理，专用于卷积合成卷积(Geophysical seismic data processing, convolution)

二次规划的matlab程序，希望对初学者有用( Quadratic Programming )

IEC Flickermeter Simulation