MATLAB_Simulink

说明：  TASI法相机标定，实现一阶径变系数和焦距F的求解。误差为5个像素(TASI camera calibration method to achieve first-order path coefficient and focal length F of the Solution. Error of 5 pixels)

数学建模教案 排队论 图论 线性规划 整数规划 混合规划(Mathematical modeling of graph theory, queuing theory lesson plans linear programming mixed integer programming planning)

说明：  here is the matlab code for sixty four qam modulation

哈工大ppt课件，简单易懂，有应用实例，入门必备。(HIT ppt courseware, simple to understand, there are examples, entry necessary.)

此文件是基于ARToolKit的开发包上的再次开发，上面显示一个一个立方体，并加以稳定的程序，对增强现实有很好的指教。(This document is based on the development of ARToolKit developed again on the package, shown above, one by one cube, and the procedures to be stable, for augmented reality have a good advice.)

it is rar file .it contains source code for matlab.

Rutines to analize the ACL of one dimention, generate ACL of variable neighborhood radius, claculate bruijn diagram, Generate subset matrix acl.mat -> Graf a Celular Autoamta L=1 bruijn.mat -> Generate bruijn diagram and the bruijn matrix invbruijn.mat -> Se le pasa la matriz de evo y el saca los parametros (el inverso) subconjuntos.mat -> Generate subset matrix invsubcon.mat -> Generate the inverse of subset matrix parejas.mat ->Generate the couple matrix anteriores" (Rutines to analize the ACL of one dimention, generate ACL of variable neighborhood radius, claculate bruijn diagram, Generate subset matrix acl.mat-> Graf a Celular Autoamta L=1 bruijn.mat -> Generate bruijn diagram and the bruijn matrix invbruijn.mat-> Se le pasa la matriz de evo y el saca los parametros (el inverso) subconjuntos.mat -> Generate subset matrix invsubcon.mat -> Generate the inverse of subset matrix parejas.mat ->Generate the couple matrix anteriores" )

说明：  “水仙花数”是指一个三位数，其各位数字的立方和等于该数本身。用两种不同的方法求所有的“水仙花数”。 ("narcissi few" refers to a triple-digit, the number of cubic you and equal to the number itself. Using two different methods for all of the "Narcissus few.")

Matlab人工免疫算法在函数优化方面的应用(Matlab Optimization of artificial immune algorithm in the application of the function)

Wavelet denoising For using this code need to use signal toolbox and general toolbox in your matlab In the first part of this assignment, we asked to obtain a (black-and-white) digital image of size 512 by 512 and then generate noisy image by adding a Gaussian noise but under the condition of having SNR=20dB by select the suitable value of variance for Gaussian noise formula. Second step is performing wavelet denoising using the hard thresholding (Use the db 6 for four levels) in the condition of finding the optimal thresholding value of T in terms of the SNR obtained. It means that, we should find the highest SNR value by finding the suitable value for threshold. Then we asked to do the same process but this time using soft thresholding. Finally for the last part of question one, we should compare the results of the obtained SNR with the recommendations of 3*sigma for the hard thresholding and 3/2*sigma for the soft thresholding.