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IP-simulink
倒立摆的仿真, 使用matlab7.1去写mdl file and m-file(Inverted pendulum simulation, the use of matlab7.1 to write mdl file and m-file)
- 2009-01-21 12:10:13下载
- 积分：1
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the-signal-envelope-extraction-
这里是信号包络提取matlab 程序，相信对解决此类问题的同仁有很大帮助(Here is the signal envelope extraction matlab program, I believe it will help people who want to solve such problems a lot.)
- 2012-08-06 23:16:02下载
- 积分：1
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RBF.m
rbf RBF网络用于建模 ，过程很适合初学者懂的。很详细，很容易的！(RBF RBF network used for modeling, process is suitable for beginners understand. Very detailed, easy!
)
- 2011-11-13 18:24:28下载
- 积分：1
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MATLAB_-30-case-studies
matlab 智能算法30例介绍，其中有背景，分析，程序，供大家参考。(matlab introduce intelligent algorithms 30 cases, including the background, analysis, procedures, for your reference.)
- 2013-08-15 14:49:25下载
- 积分：1
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matlab-GM
GM（1，1）源代码，计算原始数据的残差、关联度、小误差概率等。同时画出原始数据和预测数据对比图(GM (1,1) source code to calculate the raw data residuals, correlation, and so a small error probability. At the same time draw the raw data and forecast data comparison chart)
- 2011-10-26 10:14:30下载
- 积分：1
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Stark-code
matlab codes for e-book: Stark 2005 Wavelets and Signal Processing
- 2013-09-20 20:47:55下载
- 积分：1
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ofdm_sync_for_fading_channels
this paper talks about ofdm synchronization for selective fading channels,hope it to be of help to evrybody
- 2007-07-23 20:48:10下载
- 积分：1
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keywords
[ convex_optimization.rar ] - 凸优化 程序包，包含各种凸优化算法,可供方便调用. [ signal_decomposition_by_bp.rar ] - 基于基追踪（basis pursuit）对信号进行稀疏表示的算法 [ cvx .zip ] - 凸规划建模系统,有助于学习压缩感知([Convex_optimization.rar]- convex optimization package that contains a variety of convex optimization algorithms for easy call [signal_decomposition_by_bp.rar]-. Based on the base track (basis pursuit) algorithm for signal sparse representation [cvx .zip]- Convex planning modeling system, including user manuals, help learning compressed sensing)
- 2014-12-20 22:17:30下载
- 积分：1
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motor-c-program
电动工具控制源程序 投入量产运用，吐血共享(motor controler)
- 2013-11-09 14:22:07下载
- 积分：1
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inpainting
For using this code need to use signal toolbox and general toolbox in your matlab
Inpainting using sparse regularization. Consider the pepper image with many missing
pixels.
Assume that the image is noisy-free.
(a) Inpaint the image by using orthogonal wavelet sparsity.
(b) Inpaint the image by using a different sparsity prior.
Based on the outputs, it is clear that the inpainting result obtain by Sobolev is much better than
other methods (i.e. Orthogonal wavelet sparsity and Invariant wavelet sparsity).
- 2013-12-11 17:30:22下载
- 积分：1
