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imdq
Simulation induction motor
- 2011-01-08 11:51:50下载
- 积分：1
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Rafal_Majorczyk_AssingmentC_-Sharp8
Goal of the project was to use numerical methods for solving systems of ordinary
differential equations (ODE) using MATLAB software. As in previous assignments first of all I had to
research for algorithms, which would be helpful during evaluation of each task, later on I was able to
implement and test numerical methods for solving given problems. Each student received electric
circuit containing different elements to solve.
Each task is presented under separated heading, with its full description, problem
discussion, my approach for solving it and explanation.
- 2011-05-11 20:51:57下载
- 积分：1
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chsc_sch
Driver for s390 chsc subchannels.
- 2014-10-14 10:05:08下载
- 积分：1
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guijiguihua
机器人轨迹规划：将手部运动轨迹换算成关节空间；对关节空间进行插值(Robot trajectory planning: the trajectory of the hand is converted into the joint space joint space interpolation
)
- 2012-03-26 09:29:04下载
- 积分：1
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color-correction-techniques
GW, stretch, wp color correction techniques
- 2011-10-22 04:58:19下载
- 积分：1
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PRBS
PRBS序列，也即M序列，用于系统辨识。(PRBS sequence signal used in system identification)
- 2020-12-22 09:39:08下载
- 积分：1
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模型预测控制(全面讲解)
对模型预测控制原理的详细讲解，强烈推荐新手如门学习(description for MPC in detail)
- 2017-10-30 12:17:33下载
- 积分：1
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Lexer
This class is in charge of lexical processing of the XPath expression into tokens.
- 2013-12-16 10:57:03下载
- 积分：1
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matlab-GCC
其中利用两个实验结果，通过互相关计算时延估计。(Which use the results of two experiments, by calculating the cross-correlation delay estimation.)
- 2013-12-18 09:52:59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
