PV

VC++中使用MATLAB的C++数学库和MCC生成的程序(VC++ in the use of MATLAB' s C++ Math Library and MCC procedures generated)

constancy gui using white patch

数字图像隐藏技术的仿真，针对一个图片现将其转换为灰白图像，然后将要隐藏的图片加入样本中，加入椒盐噪声攻击，最后将图片还原。(Digital image information hiding technology simulation, for a picture now converted to gray image, will then be hidden image is added to the sample, adding salt and pepper noise attack, finally will restore the picture.)

含过时信息多智能体系统一致性Matlab仿真(Simulation of Unified consensus of Multi-Agent System with Outdated Information by MATLAB)

阵列信号对波达方向估计（DOA）的经典算法——MUSIC算法(Array signal to the wave of direction estimation (DOA) algorithm, the classical MUSIC algorithm)

高斯加性模拟信道，模拟仿真高斯白噪声情况下信号传输情况(additional noise channel)

qpsk调制解调simulink文件，亲测可用(qpsk modem simulink file)

Relief算法中特征和类别的相关性是基于特征对近距离样本的区分能力。算法从训练集D中选择一个样本R，然后从和R同类的样本中寻找最近邻样本H，称为Near Hit，从和R不同类的样本中寻找最近样本M，称为Near Miss，根据以下规则更新每个特征的权重： 如果R和Near Hit在某个特征上的距离小于R和Near Miss上的距离，则说明该特征对区分同类和不同类的最近邻是有益的，则增加该特征的权重；反之，如果R和Near Hit在某个特征上的距离大于R和Near Miss上的距离，则说明该特征对区分同类和不同类的最近邻起负面作用，则降低该特征的权重。(The correlation between feature and category in Relief algorithm is based on distinguishing ability of feature to close sample. The algorithm selects a sample R from the training set D, and then searches for the nearest neighbor sample H from the samples of the same R, called Near Hit, and searches for the nearest sample M from the sample of the R dissimilar, called the Near Miss, and updates the weight of each feature according to the following rules: If the distance between R and Near Hit on a certain feature is less than the distance between R and Near Miss, it shows that the feature is beneficial to the nearest neighbor of the same kind and dissimilar, and increases the weight of the feature; conversely, if the distance between R and Near Hit is greater than the distance on R and Near Miss, the feature is the same. The negative effect of nearest neighbor between class and different kind reduces the weight of the feature.)

vanderpol 方程 的simulink模型仿真，参数mu,x10,x20设置不同参数。(van der Pol equation simulink model simulation, parameter mu, x10, x20 setting different parameters.)

it is a transform for copmpressing and decompressing and removing noise effectively.