LBP

Matlab小问题 问: Matlab仿真中怎样编辑Scope中的图象??? 答: 实现的方法有以下的几种: 1）PrintScreen，然后粘贴到Windows位图编辑器，选择图像点击右键，选择“反色”即可； 2）在Scope中，它的参数设置的第二页，有一个Save Data to Workplace，将它选中，然后在下面的方框 中指定变量名，然后用plot命令画出； 3）直接在模型上再加一个，to Workplace模块，也用plot画出； 4) 等scope显示出来图像以后，在matlab上运行 set(0, ShowHiddenHandles , On ) set(gcf, menubar , figure ) 这时候你会发现scope的工具栏的上面多了一行，点击insert-axes，鼠标会变成十字形状，然后再图像的任意一处双击左键出现一个对话框PropertyEditor，选中style在窗口的右便会出现color，这时你就可以任意修改背景颜色了。 问: 怎样进行S-function的编程和使用??? 答: S-function也就是System-function的缩写。说得简单，S-function就是用MATLAB所提供的模型不能完全满足用户，而提供给用户自己编写程序来满足自己要求模型的接口。要了(err)

遥感图像的HIS变换融合,通过色彩变换使图像更易于解译(romote sensing image HIS resolution merge)

正方形ABCD的4个顶点各有1人.在某一时刻,4人同时出发以匀速v=10m/s按顺时针方向追逐下一人,如果他们始终保持对准目标,则最终按螺旋状曲线于中心点O.试求出这种情况下每个人的行进轨迹(Four vertices of square ABCD each one. At a time, 4 people starting at a uniform v = 10m/s in a clockwise direction chasing the next person, if they remain at the target, then press the spiral curve in the final Find the center point O. This road track of each person)

Directory of useful Bayesian VAR Analysis material

This is my Simulink file that simulâ tes a synchronous generator model

根据雷达测量目标的数据，绘出目标运行轨迹，从而使数据更形象(According to the data of radar measurement target, the target is plotted trajectory, making data more image)

Speeded Up Robust Features (SURF) SURF (Speeded Up Robust Features) is a robust local feature detector invariant to scale rotation and illumination similaire to SIFT Scale Invariant Feature Transform

说明：  系统地论述了神经网络控制、模糊逻辑控制和模型预测控制的基本概念、工作原理、控制算法，以及利用MATLAB语言、MATLAB工具箱函数和Simulink对其实现的方法。该书取材先进实用，讲解深入浅出，各章均有相应的例题，并提供了大量用MATLAB/Simulink实现的仿真实例(The basic concepts, working principles, and control algorithms of neural network control, fuzzy logic control and model predictive control are systematically discussed, as well as the methods to implement them using MATLAB language, MATLAB toolbox functions and Simulink. The book draws advanced and practical materials, explains profound theories in simple language, each chapter has corresponding example questions, and provides a large number of simulation examples realized by MATLAB/Simulink)

以前使用matlab和vc混合编程都使用的是先将m程序用mcc转化成dll，再在vc中调用 的方法。这种方法对比较复杂的m文件很方便，但是对一些小的程序，如曲线可视化、计算矩阵特征值等，对这些只需要一两行代码的小程序，再使用dll就得不偿失了。经过试验后，发现可以直接在C++程序中调用matlab c/c++ math & graphic library的函数。(before using Matlab and vc mixed programming using the first procedure used mcc m into dl l, then vc call method. This method of complex documents m very easy, but for some minor procedures, such as curve visualization, matrix eigenvalue calculation, and so on, these are just two lines need a small procedure code, reuse dll on the loss outweighs the gain. After testing, can be found directly in the C Programming Calling Matlab c/c math)

聚类分析 Clustering 可以用来做聚类分析图，有实例(Clustering)