MLP

信号测量时，传感器优化布置的条件数方法。提供自由度信息，输出不同数量传感器的最优布置方案。(signal measurement, the sensor layout optimization of several methods. Provide freedom of information, the number of different sensor output optimal layout of the program.)

code for gauss jordan

图像中值滤波，利用中值滤波和低通滤波进行比较，分析PSNR，得出性能差别(image filtering, using median filter and a low-pass filter, PSNR analysis, the performance differences come)

矩阵快速求逆算法，算法比较简单，使用效果比较明显(Fast matrix inversion algorithm)

运用matlab编程的一个计算空间桁架的有限元程序(CAE)

AM modulation by matlab

机器人控制系统的设计与Matlab仿真 源代码(The design of the robot control system and Matlab simulation)

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)

boundary problem in math

利用MATLAB编写的函数逼近模型适合初学者使用(MATLAB function approximation model, suitable for beginners to use.)