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OCR
cung lai the thoi chang co gi ca
- 2012-05-09 17:51:06下载
- 积分：1
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lfm
简单的将线性调频信号的时域图和频域图对比描述，帮助读者更加直观的看出线性调频信号的特征(Simple time domain and frequency domain plots in Figure chirp signal contrast description to help readers see more intuitive chirp signal characteristics)
- 2014-09-17 20:22:48下载
- 积分：1
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MZF
这是一个mathlab编写的音乐程序 通过他你可以生动的感受mathlab的神奇魅力！！(This is a progress of music.)
- 2015-04-01 21:11:28下载
- 积分：1
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allan
求解allan方差，可以用于消除导航偏差，并可以根据所画曲线判断误差类别。(Solution of the allan variance can be used to eliminate the navigation deviation, and according to drawing curves to determine the error category.)
- 2012-05-18 22:40:17下载
- 积分：1
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61046606ABCNNTrain
Training Artificial Neural Network. XOR Problem. Summation Units, Log-Sigmoid Neurons with Biases. Input Layer: 2, Hidden Layer: 2, Output Layer: 1 neurons. Returns mean square error between desired and actual outputs. Reference Papers: D. Karaboga, B. Basturk Akay, C. Ozturk, Artificial Bee Colony (ABC) Optimization Algorithm for Training Feed-Forward Neural Networks, LNCS: Modeling Decisions for Artificial Intelligence, 4617/2007, 318-329, 2007. D. Karaboga, C. Ozturk, Neural Networks Training by Artificial Bee Colony Algorithm on Pattern Classification, Neural Network World, 19(3), 279-292, 2009. */
- 2013-12-10 16:58:46下载
- 积分：1
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malik
peronal算法的matalab实现过程，很好很强大。。(peronal algorithm matalab implementation process, a good strong. .)
- 2010-08-03 21:48:11下载
- 积分：1
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Newton-matlab
Newton牛顿迭代法解非线性方程,这个程序挺不错的，分享给大家(Newton-matlab)
- 2010-11-13 15:55:29下载
- 积分：1
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tool_image_6
基于fft和二进小波编写的二维小波多孔算法图像分解，效果不错(Fft and based on dyadic wavelet algorithm for the preparation of porous two-dimensional wavelet image decomposition, good results)
- 2010-05-21 12:09:18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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UCA_LMS
八阵元均匀圆阵波束赋型LMS算法，实现三维方向图(Eight-membered uniform circular array beamforming LMS algorithm, three-dimensional directions in FIG.)
- 2017-03-29 22:04:13下载
- 积分：1
