dajuan

经验模态分解EMD-希尔伯特-黄变换的HHT，的MATLAB，用户图形界面。(EMD-HHT )

研究OFDM系统抗干扰技术，采用Matlab仿真环境，评价采用循环前缀(CP)和均衡技术的OFDM系统在多径环境和衰落信道条件下的误比特率、误帧率等性能指标。(Study on anti-jamming technology OFDM system using Matlab simulation environment to evaluate the use of cyclic prefix (CP) technology and balanced OFDM system in multipath fading channel environment and under the condition of bit error rate, frame rate, such as misuse of performance indicators.)

颜色空间转换，颜色直方图信息提取，颜色空间逆变换(Color space conversion, color histogram information extraction, the color space inverse transform)

different edge detection

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)

对输入的数字图像进行二维离散傅立叶变换，由matlab实现(The input digital image to two-dimensional Discrete Fourier Transform, from matlab realize)

MIMO-OFDM 信道的自适应仿真程序(MIMO-OFDM channel adaptive simulation program)

本方法是采用 DV-HOP算法进行节点之间的定位。(This method is the use of DV-HOP algorithm positioning between nodes.)

包含了巴特沃斯滤波器的处理，属于数字信号处理的一部分(Includes the processing of the Butterworth filter, part of the digital signal processing)

多縫夫朗禾費衍射模擬,對於仿真干涉模擬有非常大的幫助(Multi-slit Fraunhofer diffraction Wo fees simulation, emulation interference simulation for a very big help)