matlab5Manual

这是Matlab有关gui的一个资料，希望能对大家的工作有些许帮组(This is a Matlab-related information gui, I hope everyone can work a bit to help group)

We start by giving a brief introduction to reservoirs and reservoir mod- elling at different scales. We introduce a mathematical model for the two- phase flow, before we look at numerical discretizations. In particular we look at the Multiscale Mixed Finite-Element (MsMFE) Method from the Matlab Reservoir Simulation Toolbox (MRST) [3], developed by SINTEF.

In a multiple transmit antenna, single antenna per receiver downlink channel with limited channel state feedback, we consider the following question: given a constraint on the total system-wide feedback load, is it referable to get low-rate/coarse channel feedback from a large number of receivers or high-rate/high-quality feedback from a smaller number of receivers? Acquiring feedback from many receivers allows multi-user diversity to be exploited, while high-rate feedback allows for very precise selection of beamforming directions. We show that there is a strong preference for obtaining high-quality feedback, and that obtaining near-perfect channel information from as many receivers as possible provides a significantly larger sum rate than collecting a few feedback bits from a large number of users.

视频处理中,镜头关键帧的主颜色的提取算法(video processing, the camera's key frame extraction algorithm colors)

A 3-Phase ac Induction Motor Control System Based on the MC68HC908MR32

逐步判别分析的主函数 用于分类 [sel,c,c0,re,P]=StepclaassV2(data,[50 50 50],data,10) 输入变量 x为训练集.每行为一个样本，每列为一个变量. Class_x,为训练集的分类情况，一行，为各类样本数量,例如[5 6 9] Test为待分类样本. 输出变量：sel为选择的变量序号，c,c0为拟合出的判别函数.re为对Test的判别结果,P为其后验概率. author 王新 2012.4.8 例子Sample: load fisheriris x=meas Class_x=[50,50,50] Test=meas(1:5,:) Fa1=4 [sel,c,c0,re,P]=StepclaassV2(x,Class_x,Test,Fa1)( Stepwise discriminant analysis for the classification of the main function [sel, c, c0, re, P] = StepclaassV2 (data, [50 50 50], data, 10) input variables x as the training set, each conduct a sample of each as a variable. Class_x, the classification for the training set, a row, the number of samples for all types, for example, [5 6 9] Test sample to be classified. output variable: sel for the selected variables serial number, c, c0 is fitted discriminant function. re discrimination results for the Test, P its posterior probability. author Wang 2012.4.8 examples Sample: load fisheriris x = meas Class_x = [50,50,50] Test = meas (1:5, :) Fa1 = 4 [sel, c, c0, re, P] = StepclaassV2 (x, Class_x, Test, Fa1))

MATLAB幻灯片显示，可以自动添加PPT的数量。(MATLAB slide show, you can automatically add the number of PPT.)

两个简单文件，提供对list的插入，删除等操作，第一个上载程序，(tow simple c file ,provide the list insert ,delete, )

Library to handle and visualize geometric primitives such as points,lines, circles and ellipses, polygons... The goal is to provide a low-level library for manipulating geometrical primitives, making easier the development of more complex geometric algorithms.

基于子空间的MUSIC算法，求到达角、离开角(Subspace-based MUSIC algorithm, and angle of arrival, left corner)