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carn
基于彩色分割的汽车牌照识别
基于彩色分割的汽车牌照识别基于彩色分割的汽车牌照识别(segmentation based on the color of the vehicle license identification based on color segmentation in vehicle license identification based on color segmentation of the vehicle license as identification)
- 2007-04-11 16:16:34下载
- 积分:1
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Navigation
惯导解算程序 很实用的 matlab写的
惯导解算程序 很实用的 matlab写的(Write INS INS solution counting procedures very practical matlab matlab solver very practical written)
- 2013-01-13 20:46:20下载
- 积分:1
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sfunctions
S-function is a powerful customized function that fits into the matlab environment.(This pdf contains instructions for build your own s-function.)
- 2012-07-20 01:39:04下载
- 积分:1
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MATLABM
是关于matlab通讯的一篇论文,有需要的可以看看,感觉挺好挺实用(Is a thesis on matlab communication need to look at, I feel very good to very practical)
- 2012-05-23 15:57:58下载
- 积分:1
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magic
Matlab魔方矩阵生成函数,输入一个除二之外的数,生成N阶魔方矩阵,矩阵的行、列及对角线之和相等(Matlab Magic matrix)
- 2014-11-05 08:53:36下载
- 积分:1
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top110
topology opt code 110 line
- 2011-10-27 11:56:41下载
- 积分:1
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laba5
Configure the PID for a muffle furnace
- 2013-11-19 16:42:49下载
- 积分:1
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raised_cosine
draw raised cosine filter response
draw raised cosine filter response
draw raised cosine filter response
draw raised cosine filter response
- 2009-05-20 11:06:43下载
- 积分:1
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pv_module
modelling and integration of grid connected pv systam.
- 2012-08-03 17:57:08下载
- 积分:1
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DSP
任务:
1) 借助MATLAB画出误差性能曲面和误差性能曲面的等值曲线(参考PPT2.1第17页的两幅图);
2) 写出最陡下降法以及LMS算法的计算公式(取 );
3) 用MATLAB产生方差为0.05, 均值为0白噪音S(n),并画出某次采样得到的波形(即产生任意一个噪声随机序列);
4) 根据 2)中的公式,并利用 3)中产生的S(n),在 1)中的误差性能曲面的等值曲线上叠加画出采用最陡下降法以及LMS法时H(n)的在叠代过程中的轨迹曲线(参考PPT2.1第17页的右下图的曲线1和曲线2)。
5)用MATLAB计算并画出LMS法时 随时间n的变化曲线(对应S(n)的某一次的一次实现)和e(n)波形;
注意:某一次实现的结果并不能从统计的角度反映实验的结果 的正确性,为得到具有统计特性的实验结果,可用足够多次的 实验结果的平均值作为实验的结果。用MATLAB计算并画出 采用LMS法时,J(n)的100次实验结果的平均值随时间n的变 化曲线(即 生成随机噪声信号并计算结果,重复执行100次, 求平均结果)。
6)在 1)中的误差性能曲面的等值曲线上,叠加画出采用LMS法得到的100次实验中的H(n)的平均值的轨迹曲线;
(Task:
1 ) Draw with MATLAB error performance surface and surface contour error performance curve ( refer PPT2.1 two chart on page 17 )
2 ) Write the steepest descent method and the LMS algorithm formula ( take )
3 ) Using MATLAB to generate variance of 0.05 with a mean of 0 white noise S (n), and draw a particular sampling waveform ( ie, any noise generated random sequence )
4 ) based on 2 ) of the formula , and use 3 ) generated in S (n), in a ) the error performance curves superimposed on the surface contour plot using the steepest descent method and the LMS method when H (n) the iterative process in the trajectory curve ( refer PPT2.1 page 17 bottom right of the curves 1 and 2 ) .
5 ) using MATLAB LMS method is used calculate and draw the curve with time n (corresponding to S (n) of a first implementation of a ) and e (n) waveform
Note : in a first implementation of the results are not reflected from a statistical point of view of accuracy of the experimental results ,)
- 2013-11-08 20:09:06下载
- 积分:1