preisach

说明：  本程序实现多模态故障检测与故障诊断，用的方法是LPP_GMM_FJ，对象为CSTH,GMM是用的FJ算法，效果很好(This procedure realize multimodal, fault detection and fault diagnosis method is LPP_GMM_FJ, object for CSTH, GMM FJ algorithm is used, the effect is very good)

系统辨识及其MATLAB仿真,白噪声产生程序(System Identification and MATLAB simulation, white noise generator)

machine learning 方面有关于Classification fundamentals的资料，语言是python(Classification fundamentals aspects of machine learning have information about language is python)

小波包分析提取振动信号中的特征频率，含噪脉冲信号进行相关检测,二维声子晶体FDTD方法计算禁带宽度的例子。( Wavelet packet analysis to extract vibration signal characteristic frequency, Noisy pulse correlation detection signal, Dimensional phononic crystals FDTD method calculation examples band gap.)

this learn you about qpsk filter

说明：  光电开关及其应用光电开关及其应用光电开关及其应用(Photoelectric switch and its application photoelectric switch photoelectric switch and its applications and its application)

很多场合需要白噪声，本程序通过一种简单的M文件产生白噪声。(Many occasions need white noise, this program through a simple M files generated white noise.)

实现有效的学习算法 的稀疏贝叶斯模型，即稀疏贝叶斯matlab工具箱("SparseBayes" is a package of Matlab functions designed to implement an efficient learning algorithm for "Sparse Bayesian" models. The "Version 2" package is an expanded implementation of the algorithm detailed in: Tipping, M. E. and A. C. Faul (2003). "Fast marginal likelihood maximisation for sparse Bayesian models." In C. M. Bishop and B. J. Frey (Eds.), Proceedings of the Ninth International Workshop on Artificial Intelligence and Statistics, Key West, FL, Jan 3-6. This paper, the accompanying code, and further information regarding Sparse Bayesian models)

matlab符号运算的ppt讲解教程，讲解通俗易懂，易于学习(ppt matlab symbolic computation tutorials explain, easy to understand explanation, easy to learn)

cs mod current in boost cover.