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doan
mô phỏ ng simulink đ iề u khiể n
- 2010-06-15 13:34:47下载
- 积分：1
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findFatigueeye
用matlab检测视网膜眼底图像，达到自动识别视网膜病变(Detection of retinal fundus images using matlab to achieve automatic identification retinopathy)
- 2013-12-09 15:47:13下载
- 积分：1
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ofdm2
实现了 正交频分复用OFDM的仿真，包括循环前缀的添加 和傅里叶变换 其中调制解调用了QPSK(Realize the orthogonal frequency division multiplexing (OFDM simulation, including the circulation of the prefix add and Fourier transform one demodulation used QPSK
)
- 2012-04-23 16:40:15下载
- 积分：1
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SVPWMconverter
SVPWM MATLAB 仿真模型 频率10K 标准电压变化 功率变换(SVPWM MATLAB simulation model 10K standard voltage variation frequency power conversion)
- 2013-05-24 15:11:10下载
- 积分：1
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Control_MATLAB
先进PID控制及其Matlab仿真书籍的matlab源码，包括各个章节(Advanced PID control and its Matlab simulation matlab source books, including the various chapters)
- 2008-12-10 22:25:06下载
- 积分：1
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DEEC
matlab code for deec protocol
- 2015-01-03 13:32:35下载
- 积分：1
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Seg Source Code
Segmentation algorithm
- 2017-08-23 18:44:10下载
- 积分：1
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kalman
在matlab系统中进行的kalman滤波器，并且在不同的参数情况下给出了比较(The kalman filter and comparsion with different fliters)
- 2012-04-16 09:36:38下载
- 积分：1
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vqLBG
Vector quantization using LBG method of center splitting
- 2006-12-26 19:36:42下载
- 积分：1
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segmeeeeeeeeeeeeeee.tar
A general technique for the recovery of signi cant
image features is presented. The technique is based on
the mean shift algorithm, a simple nonparametric pro-
cedure for estimating density gradients. Drawbacks of
the current methods (including robust clustering) are
avoided. Feature space of any nature can be processed,
and as an example, color image segmentation is dis-
cussed. The segmentation is completely autonomous,
only its class is chosen by the user. Thus, the same
program can produce a high quality edge image, or pro-
vide, by extracting all the signi cant colors, a prepro-
cessor for content-based query systems. A 512 512
color image is analyzed in less than 10 seconds on a
standard workstation. Gray level images are handled
as color images having only the lightness coordinate(A general technique for the recovery of sig ni cannot image features is presented. The techni que is based on the mean shift algorithm, a simple nonparametric pro-cedure for estimat ing density gradients. Drawbacks of the curren t methods (including robust clustering) are av oided. Feature space of any nature can be proces sed, and as an example, color image segmentation is dis-cussed. The se gmentation is completely autonomous. only its class is chosen by the user. Thus, the same program can produce a high quality edge image, or pro-vide. by extracting all the signi cannot colors, a prepro- cessor for content-based query syste ms. A 512,512 color image is analyzed in less than 10 seconds on a standard workstation. Gray 4ISR l images are handled as color images having only the lightness c)
- 2007-05-15 14:51:01下载
- 积分：1
