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ditfftbasedonmatlab
说明： 在matlab中实现时间抽取基2 FFT算法(Matlab achieve in the time taken from the base 2 FFT algorithm)
- 2008-10-19 09:37:22下载
- 积分：1
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Spectrum_analyzer
频谱仪分析技术基础，用于开发应用软件、测试测量(Spectrum analyzer)
- 2010-11-24 19:27:58下载
- 积分：1
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RFCMData1
rough fuzzy c means algorithm for clustering of data set
- 2012-03-24 12:29:31下载
- 积分：1
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DCT_Gaosi_fenkuai
将图像分为16*16的分块进行计算,稀疏矩阵采用DCT矩阵，观测矩阵采用高斯随机矩阵，重构采用OMP算法,对256*256大小的8bit灰度lena图像进行仿真( )
- 2013-09-03 16:35:44下载
- 积分：1
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GreedyAlgOfdmExample
greedy algorithm in OFDM resource allocation (single user)
- 2021-04-22 20:58:48下载
- 积分：1
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attack
图像的十种攻击方法，包括一些常见的滤波以及加噪(the attack of image)
- 2012-11-21 21:55:27下载
- 积分：1
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inpainting
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)
- 2010-06-19 21:00:49下载
- 积分：1
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DECCG
说明： 在MATLAB环境下编的基于邻居搜索的动态差分协同进化代码(Neighbor search based on dynamic differential co-evolution code)
- 2021-04-19 21:48:51下载
- 积分：1
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Buck_closedloop
DC to DC buck converter, with control loop.
- 2012-06-01 18:33:36下载
- 积分：1
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findPath
matlab编程计算在复杂网络中任意两点之间的路径(The path between two points in the complex network )
- 2021-03-29 22:19:11下载
- 积分：1
