KPLS

说明：  在MATLAB上编程 用R-K法解一次导数方程 有详细的注释(Programming in MATLAB with the RK Law on the first derivative of equation solution with detailed notes)

contains reeedsolomon code for wireless complete systm

信道建模的大牛Laurent Schumacher的MIMO信道MATLAB仿真程序的使用方法说明文件（PDF格式），完整的图像显示和分析，对MIMO研究工作很有帮助。(Channel modeling Laurent Schumacher Daniudi the MIMO channel simulation program MATLAB to use the documentation (PDF format), complete image display and analysis, research on the MIMO work.)

样条插值的Matlab实现,使用第一类和第二类边值条件进行插值，有图形实例(spline interpolation)

this is a matlab program.

calculating signal to noise ratio

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.)

由于最近做一个项目需要对MATLAB电路图做测试，且需要满足MCDC且覆盖每个门，由于 手工生成非常麻烦而且也容易出错，所以做了个工具来自动生成测试用例(With the recent need to do a project on the MATLAB test circuit, and the need to meet and MCDC coverage of each door, hand-generated as a result of a very troublesome and error-prone, so do a tool to automatically generate test cases)

关于mathematica的国外使用教程 关于mathematica的国外使用教程(course for mathematica)

提取财务数据并计算经波动调整的衍生指标，同时生成指标序列矩阵(Extract Financial data and calculate the volatility-adjusted derivatives, and generate the time series matrix)