matlab-file

matlab中的主成分分析法，有效的计算了以后预测问题，精度高。(matlab in the principal component analysis, effective after the prediction calculated with high precision.)

本代码为牛顿下山法求解非线性方程组。其调用格式为[r,m]=mulDNewton(F,x0,eps) 其中F:非线性方程组，x0：初始解，eps：解的精度；r：求得的一组解，n：迭代步数。(The code for Newton' s method for solving nonlinear equations. Its call format [r, m] = mulDNewton (F, x0, eps) where F: non-linear equations, x0: initial solution, eps: solution accuracy r: obtain a set of solution, n : the number of iterative steps.)

AdaBoost元算法属于boosting系统融合方法中最流行的一种，说白了就是一种串行训练并且最后加权累加的系统融合方法。 具体的流程是：每一个训练样例都赋予相同的权重，并且权重满足归一化，经过第一个分类器分类之后， 计算第一个分类器的权重alpha值，并且更新每一个训练样例的权重，然后再进行第二个分类器的训练，相同的方法....... 直到错误率为0或者达到指定的训练轮数，其中最后预测的标签计算是各系统*alpha的加权和，然后sign（预测值）。 可以看出，训练流程是串行的，并且训练样例的权重是一直在变化的，分错的样本的权重不断加大，正确的样本的权重不断减小。 AdaBoost元算法是boosting中流行的一种，还有其他的系统融合的方法，比如bagging方法以及随机森林。 对于非均衡样本的处理，一般可以通过欠抽样(undersampling)或者过抽样(oversampling)，欠抽样是削减样本的数目， 过抽样是重复的选取某些样本，最好的方法是两种进行结合的方法。 同时可以通过删除离决策边界比较远的样例。 (AdaBoost boosting systems dollar fusion algorithm is the most popular one, it plainly systems integration approach is a serial train and final weighted cumulative. Specific process is: Each training example is given equal weight, and the weights satisfy normalization, after the first classifiers after Calculating a first classifier weights alpha value for each sample and updates right weight training, and then the second classifier training, the same way ....... 0, or until the specified error rate training rounds, wherein the label is the calculation of the final prediction system* alpha weighted and then sign (predicted value). As can be seen, the training process is serial, and weight training examples is always changing, the right of the wrong sample weight continued to increase, the right to correct sample weight decreasing. AdaBoost algorithm is an element, as well as other methods of boosting popular systems integration, such as bagging and random forest method. For )

是国外的成品模型，esprit算法对有干扰的信号频率进行估计,包含收发两个客户端的链路级通信程序。( Foreign model is finished, esprit algorithm signal frequency interference can be assessed Contains two clients receive link-level communications program.)

基于matlab的三维FDTD仿真，PEC边界(3D-FDTD Simulation for matlab, PEC)

Principal component analysis (PCA) is a mathematical procedure that uses an orthogonal transformation to convert a set of observations of possibly correlated variables into a set of values of uncorrelated variables called principal components.

ukf函数，此函数是无迹卡尔曼滤波函数，用于信号处理，输入相关参数后，可得到结果(ukf function,used in signal processing)

卷积编码的源代码，可以用于移动通信信道编 码(the source code can be used in mobile communications channel coding)

子空间信道估计算法，用的pastd算法，来进行盲信道估计(Subspace channel estimation algorithm, pastd used algorithm for blind channel estimation)

光纤模式分布图形及模式数量计算，程序清晰图形漂亮(fiber modes distribution graphic and mode number computition)