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说明：  MATLAB小波分析的学习资料 ppt 有需要的朋友可以看看(MATLAB Wavelet Analysis of the learning materials ppt can see a friend in need)

说明：  基于支持向量机和模糊系统的机器学习方法及其应用研究 文档 写的很好(SVM Fuzzy SYSTEM )

说明：  用于检验两个时间序列是否具有格兰杰因果关系(Used to test whether two time series have Granger causality)

用matlab写的产生法向量程序，简单适用，可用于求中心点(Using matlab program written in vector generation method, simple and applicable, can be used to seek center)

认知无线电的频谱检测算法的MATLAB实现 很全(Cognitive radio spectrum detection algorithm to achieve the MATLAB)

在Matlab simulink仿真环境中，用恒压法实现MPPT模型仿真。(IN Matlab simulink simulation environment, MPPT model simulation using the constant voltage method.)

Crystal Clear SSI for Operational Modal Analysis

基于Pisarenko谐波分解的间谐波估算方法。自己编写的程序，可直接运行。(Based Pisarenko harmonic decomposition between harmonic estimation methods. The programs that can be run directly.)

MATLAB code for fast fourier transform

该算法用于自回归输入模型，是一种迭代的算法。其基本思想是基于对数据先进行一次滤波处理，后利用普通最小二乘法对滤波后的数据进行辨识，进而获得无偏一致估计。但是当过程的输出信噪比比较大或模型参数较多时，这种数据白色化处理的可靠性就会下降，辨识结果往往会是有偏估计。数据要充分多，否则辨识精度下降。模型阶次不宜过高。初始值对辨识结果有较大影响。(The algorithm used for autoregressive input model, it is a kind of iterative algorithm. The basic idea is based on data to conduct a filtering processing, after using ordinary least square method to identify the data filter, and then obtain unbiased consensus estimates. But when the process output signal-to-noise ratio is larger or model parameters are too, this kind of data white processs reliability will drop, identification results tend to be biased estimate. Data should fully, otherwise the identification accuracy down. Model order time shoulds not be too high. Initial value to identification results have great influence on.)