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adaboost：经典的分类算法，配有相应的论文及程序使用说明(adaboost: classical classification algorithms, with the corresponding papers and procedures for use)

It works as the IPToolbox s imadjust GUI Front End!

经典的雷达信号处理算法程序，对初学者具有指导意义(Classic radar signal processing algorithm program, with guidance for beginners)

区间数计算，岩土沉降预测，matlab编程，变权重计算(Interval calculations, geotechnical settlement prediction, matlab programming, variable weight calculation)

采用加权网络中节点强度和权重都是幂率分布的模型，可以广泛的应用于数据预测及数据分析,用MATLAB实现动态聚类或迭代自组织数据分析。( Using weighted model nodes in the network strength and weight are power law distribution, Can be widely used in data analysis and forecast data, Using MATLAB dynamic clustering or iterative self-organizing data analysis.)

　支持向量机方法是建立在统计学习理论的VC 维理论和结构风险最小原理基础上的，根据有限的样本信息在模型的复杂性（即对特定训练样本的学习精度，Accuracy）和学习能力（即无错误地识别任意样本的能力）之间寻求最佳折衷，以期获得最好的推广能力[14]（或称泛化能力）。 (SVM is based on statistical learning theory and the theory of VC dimension based on structural risk minimization principle, according to the limited sample of information in the model complexity (ie, training samples of a specific learning accuracy, Accuracy) and learning ability (ie, error-free samples to identify any capacity) to find the best compromise between, in order to obtain the best generalization ability [14] (or generalization).)

NUmerical method - newton polynom

用Matlab产生单双极性的NRZ和RZ码型(Using Matlab generated Mono polar NRZ and RZ format)

一种新型的配电网潮流计算的matlab源代码,基于前推回代法，并附有10kv配电网数据，利用新的判别手段，成功解决配电网不收敛的问题(A new distribution power flow calculation matlab source code, based on forward and backward substitution method, together with 10kv distribution network data, using new identification methods, successfully resolved the problem of the distribution network does not converge)

这是《Space-Time Codes and MIMO Systems》书中第四章的源程序，包括stbc2x1,2x2,3x1,3x2还有当信道具有相关性时的stbc2x2,4x4等多发多收等的源程序。(This is the "Space-Time Codes and MIMO Systems" source book, Chapter IV, including stbc2x1, 2x2, 3x1, 3x2 as well as when the channel has a relevance stbc2x2, 4x4, etc., etc. overcharged multiple source.)