HuntLinKulkarni-PredictingCourseGrades

it is very important to learn

基于MATLAB环境下偏微分方程组的求解对应的代码 简单明了 便于初学者学习使用(Based on the MATLAB environment to solve partial differential equations corresponding code is simple for beginners to learn to use)

关于求解物体存在的包裹相位的几种解包裹算法，有基于DCT理论的最小二乘算法，整体变份法，以及Goldstein枝切法等。(Several solving existing objects wrapped phase unwrapping algorithm, least squares algorithm based on DCT theory, the overall change copies law, as well as Goldstein branch-cut method.)

kalman滤波算法的MATLAB仿真。比较简单，可以用于初学者对kalman滤波算法的学习与理解，希望能够帮助到大家！！(kalman filter algorithm for target tracking simulation)

matlab的统计分析方法的源代码，并有举例说明。(methods of statistical analysis matlab source code and examples.)

会使用DEBUG软件； 利用DEBUG单步执行功能测试指令的执行 (Will use the DEBUG software the use of functional tests DEBUG single-step instructions to be executed)

一个OFDM系统的MATLAB程序 有利于对OFDM通信系统的同步进行研究(An OFDM system, MATLAB procedures are conducive to the synchronization of the OFDM communication system to study)

H.264 intra coeff. reordering

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. )

灰度共生矩阵提取特征值，最近邻算法，进行纹理图像分类。creat_apprentissage用来训练样本，cooccurence是灰度共生矩阵提取特征值，knn是进行k最近邻算法，classif是纹理图像分类(coocurence matrix，using K nearest neighbor to classify textures images.)