SOMnet1

2003年Park关于超分辨图像重建的综述性文献，文中回顾了时域与频域的各种重建方法，并进行了比较。比较全面(2003 Park on the super-resolution image reconstruction is summarized in literature, the paper recalled the time domain and frequency domain of various reconstruction methods and compared. More comprehensive)

logistic映射分岔图的四种实现方法(logistic map bifurcation diagram of the four implementations)

逆变器的预测电流控制，包括M文件和SIMULINK 模型，已经仿真验证(predictive current control of inverter,including M file and SIMULINK model)

说明：  地震波模拟 波场立体模拟结果 海水双层介质，总括过程。(Three-dimensional simulation of seismic wave simulation wave field water layer media, to conclude the process.)

利用粒子群算法， 求一个二维函数的最大值。(The use of particle swarm algorithm, the maximum value for a two-dimensional function. )

music算法,首先,根据获得的数据来寻找协方差,确定噪声子空间和信号子空间,谱峰搜索(Music algorithm,first of all,according to receive data to find the covariance, determine the noise subspace and the signal subspace, in searching spectral peak)

Blobworld:基于期望最大算法的图像分割 及其在图像查询中的应用 (Blobworld: Image segmentation using Expectation-Maximization and its application to image querying)

adaptive total variation estimation for the point spread function

用杂波协方差矩阵估计输入信号协方差矩阵的方法（输入为杂波和导向适量）(Noise covariance matrix estimated using the input signal covariance matrix method (input amount of clutter and orientation))

最小冗余最大相关性（MRMR）（MRMR.M） 需要外部库。详情请见MRMR。下载一个更新版本的互信息工具箱 偏最小二乘（PLS）回归系数（ReGCOEF.m） 使用MATLAB统计工具箱中的PLSReress ReliefF（分类）和RReliefF（回归）（ReleFracePr.M.） 从Matlab STATS工具箱中包装Releff.m。这是Matlab R2010B以后提供的。 ReliefF的另一个选择是使用ASU特征选择工具箱中的代码。这使用WEKA工具箱的ReleFEF，因此需要额外的库。请参阅相应的文档。 费雪评分（Fisher评分） 围绕ASFS特征选择工具箱围绕FSFisher。M(Minimum Redundancy Maximum Relevance (mRMR) (mRMR.m) Needs external library. See mRMR.m for details. Download a newer version of the mutual information toolbox Partial Least Squares (PLS) regression coefficients (regCoef.m) Uses plsregress.m from MATLAB statistics toolbox ReliefF (classification) and RReliefF (regression) (relieffWrapper.m) Wraps around relieff.m from the MATLAB stats toolbox. This is available MATLAB r2010b onwards. Another option for ReliefF is to use the code from ASU Feature Selection toolbox. This uses ReliefF from weka toolbox and hence needs additional libraries. Please see the corresponding documentation. Fisher Score (fisherScore.m) Wraps around fsFisher.m from the ASU Feature Selection toolbox)