MCMCPmatlabPtutorial

说明：  详细介绍如何使用matlab的一本书。非常的不错哦(Details of how to use matlab in a book. Oh, very good)

变压器饱和仿真的搭建，是单相模型，对于研究变压器饱和特性有很大帮助(Transformer saturation simulation of structures, is a single-phase model for the study of transformer saturation characteristics of great help)

QAM调制与解调——包含了多种多进制的正交调制与解调(QAM modulation and demodulation- contains a variety of M-ary orthogonal modulation and demodulation)

这里是MVDR应用于数字波速形成技术，功能强大，同时附带两篇做的时候用的参考文献(This is the wave velocity of the formation of MVDR digital technology, powerful and at the same time doing two incidental references used)

HIGH CAPACITY DATA-HIDING

主轴有限元分析临界转速及刚度、阻尼与模态振型。(Finite Element Analysis Critical spindle speed and stiffness, damping and mode shapes.)

对信号进行小波变换，得到小波系数和逼近系数，求出各个频率段的能量（能量=小波系数的平方和(wavelet transform)

Model Fitting using a Gui code in matlab. using AR,ARMA,MA models

In machine learning, support vector machines (SVMs, also support vector networks[1]) are supervised learning models with associated learning algorithms that analyze data and recognize patterns, used for classification and regression analysis. Given a set of training examples, each marked as belonging to one of two categories, an SVM training algorithm builds a model that assigns new examples into one category or the other, making it a non-probabilistic binary linear classifier. An SVM model is a representation of the examples as points in space, mapped so that the examples of the separate categories are divided by a clear gap that is as wide as possible. New examples are then mapped into that same space and predicted to belong to a category based on which side of the gap they fall on.

HHT工具箱，希尔伯特黄变换用的工具箱和emd程序代码(HHT toolbox, EMD decomposition of essential things, Hilbert-Huang Transform toolbox and program code used emd)