matlab100

Chapitre estimation et observation du flux rotorique Section Observateur du flux rotorique Le fichier <<Sol_Erreur_esti_Vers1.m>> est la solution de l exercice, page 254,dont l objectif est d être capable de simuler l évolution de l erreur d estimation lorsque l observateur de Verghese est utilisé à l aide de <<Matlab>>.

维特比译码，来自现代通信系统matlab(Viterbi Decoder, from modern communications systems matlab)

In this demo, I use the EM algorithm with a Rauch-Tung-Striebel smoother and an M step, which I ve recently derived, to train a two-layer perceptron, so as to classify medical data (kindly provided by Steve Roberts and Will Penny from EE, Imperial College). The data and simulations are described in: Nando de Freitas, Mahesan Niranjan and Andrew Gee Nonlinear State Space Estimation with Neural Networks and the EM algorithm After downloading the file, type "tar -xf EMdemo.tar" to uncompress it. This creates the directory EMdemo containing the required m files. Go to this directory, load matlab5 and type "EMtremor". The figures will then show you the simulation results, including ROC curves, likelihood plots, decision boundaries with error bars, etc. WARNING: Do make sure that you monitor the log-likelihood and check that it is increasing. Due to numerical errors, it might show glitches for some data sets. (In this demo, I use the EM algorithm with a Rauch-Tung-Striebel smoother and an M step, which I ve recently derived, to train a two-layer perceptron, so as to classify medical data (kindly provided by Steve Roberts and Will Penny from EE, Imperial College). The data and simulations are described in: Nando de Freitas, Mahesan Niranjan and Andrew Gee Nonlinear State Space Estimation with Neural Networks and the EM algorithm After downloading the file, type "tar-xf EMdemo.tar" to uncompress it. This creates the directory EMdemo containing the required m files. Go to this directory, load matlab5 and type "EMtremor". The figures will then show you the simulation results, including ROC curves, likelihood plots, decision boundaries with error bars, etc. WARNING: Do make sure that you monitor the log-likelihood and check that it is increasing. Due to numerical errors, it might show glitches for some data sets. )

Dijkstra algorithm for Graph (Find Shortest path in Graph)

说明：  matlab应用在微分方程的解法和他的一些应用程序接口用户指南(matlab application of Differential Equation and some of his API User' s Guide)

设计简单计算机要求用户输入运算数和运算符实现两个数的运算。(Simple Calculator )

小波包分析提取振动信号中的特征频率，包含了阵列信号处理的常见算法，算法优化非常好，几乎没有循环。( Wavelet packet analysis to extract vibration signal characteristic frequency, Contains a common array signal processing algorithm, Algorithm optimization is very good, almost no circulation.)

说明：  主成分分析： (1) 根据指标的属性将原始数据统一趋势化 (2) 利用协方差、相关系数矩阵进行主成分分析，判断可否用第一主成分排名？(Principal component analysis: (1) Unify and trend the original data according to the attribute of the indicator (2) Using covariance and correlation coefficient matrix for principal component analysis, can we use the first principal component ranking?)

这是胡不变矩的经典matlab程序，其实就是不变矩的验证，七阶矩.(This is the classic Hu invariant moments matlab program, in fact, the same moment the validation, seven-order moments.)

本代码高效简洁，利用率高。使用时需改动少量参数。主要功能就是利用frotran语言求得时间序列的小波分析结果。(this program is short and effect. only a few parameters need to be modified when used. this main fuction of this program calculate the waavelet of time serises)