H-pwm

希尔伯特黄变换（HHT）变换，在众多领域都有应用，适合初学者学习(Hilbert Huang Transform (HHT) transformation has applications in many fields, suitable for beginners to learn)

这是一本介绍MATLAB建模与仿真的书籍，共有两本，很难找，从学校图书馆找到的，赶紧下(This is an introductory modeling and simulation of MATLAB books, a total of 2, it is difficult to find, from the school library to find and quickly under)

Arduino Uno Sketch to take measurements a strain gauge at precise depths into an elastic object. Interfaces the Uno with a micrometer using SPC and with strain gauge bridge circuit using Analog input pin. Tested to work on OSEPP Uno R3 Plus (Arduino Uno equivalent uC)

JUST FOR FUN....THIS MODEL JUST EXPOSES MY FAVORITE CUNT S PROGRAMMING SKILLS...SHE REALLY IS A BBOB WHEN IT COMES TO PROGRAMMING

说明：  相关向量机（Relevance Vector Machine，简称RVM）是Micnacl E.Tipping于2000年提出的一种与SVM（Support Vector Machine）类似的稀疏概率模型，是一种新的监督学习方法。 它的训练是在贝叶斯框架下进行的，在先验参数的结构下基于主动相关决策理论（automatic relevance determination，简称ARD）来移除不相关的点，从而获得稀疏化的模型。在样本数据的迭代学习过程中，大部分参数的后验分布趋于零，与预测值无关，那些非零参数对应的点被称作相关向量（Relevance Vectors），体现了数据中最核心的特征。同支持向量机相比，相关向量机最大的优点就是极大地减少了核函数的计算量，并且也克服了所选核函数必须满足Mercer条件的缺点。(Relevance Vector Machine (RVM) is a sparse probability model similar to SVM (Support Vector Machine) proposed by Micnacl E. Tipping in 2000. It is a new supervised learning method. Its training is carried out under the Bayesian framework. Under the structure of prior parameters, it is based on Automatic Relevance Determination (ARD) to remove the irrelevant points, so as to obtain the sparse model. In the iterative learning process of sample data, the posterior distribution of most parameters tends to zero, which is independent of the predicted value. The points corresponding to non-zero parameters are called Relevance Vectors, which represent the most core features of the data. Compared with support vector machine, the biggest advantage of correlation vector machine is that it greatly reduces the computation amount of kernel function, and also overcomes the shortcoming that the selected kernel function must meet Mercer's condition.)

mô phỏ ng watermaking

matlab源码，可以实现lanczos过程(matlab source code can achieve lanczos process)

基于多元线性回归、偏最小二乘、神经网络、卡尔漫滤波、径向基网络、主成分分析等等的程序。可用于建模和预测。(Based on multiple linear regression, partial least squares, neural networks, Carl diffuse filtering, radial basis networks, and so on principal component analysis procedure. Can be used for modeling and prediction.)

一篇介绍ARMA时间序列模型定阶方法的文章，供大家参考。(a paper about order determination method for ARMA time series model .)

Matlab codes for Contemprary Communication systems using matlab