motorcycle_model

matlab实用教程 里面是doc格式的 很详细(failed to translate)

HBAT. pls use this in your assignment in multivariate analysis. credits to the owner thank you

it is very informative

本matlab程序用于对泽尼克多项式的像差进行绘图(This matlab program is used to plot aberrations of Zernike polynomials)

可实现FFT功能的MATLAB源代码，具有应用背景，也可方便初学者学习FFT的原理及实践(FFT function can be realized MATLAB source code, with the application of the background can also be convenient for beginners to learn and practice the principles of FFT)

使用Logistic Regression来讲解Probabilistic Classification Methods并绘出正确图表(Logistic Regression to explain the use of Probabilistic Classification Methods and draw the correct diagram)

后续的接调制的程序，跟以前传的调制是在同样的环境下实现的(Follow-up modem access procedures, with the previous Chuan modulation is in the same environment to achieve)

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)

c est un document qui traite le d application d un algorithme génétique au problème du voyageur de commerce

非线性动力学研究的入门matlab编写程序 主要有混沌 分岔概念的理解 (Getting matlab programming nonlinear dynamics of chaotic bifurcation of the main conceptual understanding)