exam1

说明：  摄像头采集，人脸识别 更改了matlab的simulink原例子，可以直接从usb摄像头实时采集图像，进行人脸识别。 (Camera capture, face the simulink matlab changed the original example, directly from the usb camera capture images in real time, for face recognition.)

CoSaMP，BP,OMP算法，比较它们在不同信噪比情况下的重构误差。(CoSaMP, BP, OMP algorithm and compare them with different SNR in the reconstruction error.)

波浪中船舶运动的仿真及预报研究 船舶运动数学模型(Wave the ship motion simulation and forecasting of ship motion mathematical model)

This code performs wide band Cooperative Spectrum Sensing under various noise levels. A large number of primary users as well as secondary users are considered.The detection is power spectral density based . This project gives the lower bound for the power level of the PU signa...This code performs wide band Cooperative Spectrum Sensing under various noise levels. A large number of primary users as well as secondary users are considered.The detection is power spectral density based . This project gives the lower bound for the power level of the PU signa...

MATLAB画vasp能带结构，画石墨烯能带结构(MATLAB painting vasp band structure of graphene band structure painting)

matlab的使用命令大全，可以在做matlab开发的时候给与很好的帮助(the use of matlab command Daquan, you can do matlab developed a good time to give help)

Matlab中的遗传算法工具箱，内含多个功能函数，方便调用。(Genetic Algorithm in Matlab toolbox containing a number of performance function to facilitate the call.)

说明：  基于Mie散射理论对壳核结构的粒子的光学参数进行模拟(Mie scattering theory based on the structure of core-shell particles to simulate the optical parameters)

说明：  （1）应用9×9的窗口对上述图象进行随机抽样，共抽样200块子图象； （2）将所有子图象按列相接变成一个81维的行向量； （3）对所有200个行向量进行KL变换，求出其对应的协方差矩阵的特征向量和特征值，按降序排列特征值以及所对应的特征向量； （4）选择前40个最大特征值所对应的特征向量作为主元，将原图象块向这40个特征向量上投影，所获得的投影系数就是这个子块的特征向量。 （5）求出所有子块的特征向量。 ((1) the application of 9 × 9 window of these images at random, a total sample of 200 sub-image (2) all sub-images according to out-phase into a 81-dimensional row vector (3) all 200 lines for KL transform vector, derived its corresponding covariance matrix of eigenvectors and eigenvalues, in descending order by eigenvalue and the corresponding eigenvector (4) a choice to 40 corresponding to the largest eigenvalue eigenvector as the PCA, the original image block to the 40 feature vectors on the projection, the projection coefficients obtained by this sub-block eigenvector. (5) calculated for all sub-block eigenvector.)

说明：  贝叶斯分类器，处理类别为两类，特征值为两个的情况。(Bayesian classifier to deal with two categories, feature is that two cases.)