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Easily editable files to simulate three MIMO predictive control algorithms. These files are intended as a support to this book to enable students to investigate predictive control algorithms from the formulation of the prediction equations right through to the closed-loop simulation. (Easily editable files to simulate three MIMO predictive control algorithms.These files are intended as a support to this book to enable students to investigate predictive control algorithms from the formulation of the prediction equations right through to the closed-loop simulation.)

本程序在MATLAB平台上实现了IIR滤波器的GUI设计，通过输入参数，即可在友好的界面上完成IIR滤波器的设计。(The program implemented on MATLAB platform GUI design of IIR filters, through the input parameters, can be completed in a friendly interface for IIR filter design.)

多帧图像超分辨率重建，里面有huber 马尔科夫，ML超分辨率重建，对学习超分辨率很有帮助。(Multi-frame image super-resolution reconstruction, which has the the huber Markov, ML super-resolution reconstruction is helpful in learning the super-resolution.)

function g=nonlineareq(x) Here is an example of nonlinear system that can be solved by using the Matlab command "fsolve" written in the file called "solution.m"

RSS to find location

实现了图像的加水印，去噪，加噪声等功能，BP神经网络用于函数拟合与模式识别，LDPC码的完整的编译码。( Realize image watermarking, de-noising, plus noise and other functions, BP neural network function fitting and pattern recognition, Complete codec LDPC code.)

image inpainting (CS7495 Final Project Sooraj Bhat Object Removal by Exemplar-based Inpainting USING THE CODE Everything was done in Matlab and MEX (i.e. a C function callable from Matlab). First, the C code needs to be compiled. At the Matlab prompt, type: mex bestexemplarhelper.c You should then be able to run the following (which takes ~2mins on my 2GHz Pentium 4 laptop with 256MB of RAM): [i1,i2,i3,c,d,mov] = inpaint( bungee0.png , bungee1.png ,[0 255 0]) A smaller run (~25 seconds) would be: [i1,i2,i3,c,d,mov] = inpaint( bw0.png , bw2.png ,[0 255 0]) To visualize: plotall close movie(mov) SAMPLE IMAGES & RESULTS *0.png The original images ( bw and bungee ) *{1,2}.png The different fill region masks. *P2.png Plots of confidence and data terms. *P5.png Plots of original, fill region, inpainted images and confidence and data terms. Other images in the dir contain redundant information. I di)

混沌理论中很重要的拉亚普诺夫指数的，求解公式，例程可以直接打开运行(Chaos Theory in the very important layar普诺夫index, solving formula, routines can directly open the run)

matlab潮流程序，通用程序，可以计算各种节点数据(matlab power flowe )

说明：  本文件是用matlab来实现的D-S证据理论代码。可以进行DS证据理论的推到验证(This document is achieved by matlab code DS evidence theory. DS evidence theory can be pushed to the validation)