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Recognize.m
recognizing fingerprint image
- 2011-07-13 17:48:27下载
- 积分:1
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ImageFFTConv
利用快速傅里叶变换求两幅图像的卷积,matlab源码(Fast Fourier transform using the convolution of two images, matlab source)
- 2010-10-20 17:26:36下载
- 积分:1
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check_valve_motion
排氣閥門的UDF,裏頭有寫著在如何的壓力底下排氣閥門會開啟,當壓力未達到時排氣閥門將會關閉(Exhaust valve UDF, inside there that says how the pressure beneath the exhaust valve opens when the pressure does not reach the exhaust valve will be closed)
- 2014-11-26 15:25:42下载
- 积分:1
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HoughTransfo
一个处理hough变换的源码,希望大家能有点用,不过是一个matlab的源码,一会再传一个C的(Hough transform a deal with source code, hope that we can use a little bit, but is a matlab source code, one would send a C of)
- 2007-08-06 13:36:20下载
- 积分:1
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music7
模拟两个相干的的窄带信号。阵列的阵元数为10,快拍数为200,信号入射方向分别为20°,60°,阵元间距为入射信号波长的1/2,信噪比为20dB。分别用MUSIC算法和改进MUSIC算法进行仿真。仿真结果如下图所示(MUSIC algorithm is improved compared with the simulation of signal coherent MUSIC algorithm. Two coherent analog narrowband signal. Array element number of the array 10, the number of snapshots 200, a signal incident directions, respectively 20 °, 60 °, array element spacing is 1/2 of the wavelength of the incident signal, SNR is 20dB. Respectively MUSIC MUSIC algorithm and improved algorithm simulation.)
- 2014-12-09 08:54:21下载
- 积分:1
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lilunzhi
基于3GPP 25.996 的简化SCM信道模型,可用来生成基于SCM信道的仿真实时的信道增益的产生,到达角 给出了拉普拉斯分布 均匀分布与标准的20个子径的分布三种不同的形式。(Based on 3 GPP 25.996 simplified SCM channel model, based on SCM channel can be used to generate a simulation of real-time channel gain, arrival Angle gives the Laplace distribution uniform distribution and standard 20 is a diameter of three different forms of distribution)
- 2014-01-10 17:34:08下载
- 积分:1
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code
一种基于FTM方法的液滴自由下落的matlab程序(FTM-based method droplets free-fall program)
- 2015-11-21 12:38:47下载
- 积分:1
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gmsk-modulation
matlab program of gmsk modulation
- 2020-11-12 22:29:45下载
- 积分:1
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fisherface
Eigenfaces: PCA tends to find a p-dimensional subspace
whose basis vectors correspond to the maximum
variance direction in the original image space (p N).
We called the new subspace defined by basis vectors “face
space”. First, all training faces are projected onto the face
space to find a set of weights that describes the contribution
of each vector. Then we project all testing faces onto the
face space to obtain a set of weights. Finally, we identify
the face by comparing a set of weights for the testing face
to sets of weights of training faces.
- 2010-11-20 17:00:21下载
- 积分:1
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ERS21_AM
SAR原始数据,对初学者很有用啊!特别是用matlab读取的很方便(SAR raw data, useful for beginners! Especially matlab read very convenient)
- 2013-01-17 15:48:05下载
- 积分:1