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SeperateKernel
This function seperates a 2D matrix into its X and Y components if by
definition the kernel is seperable (rank==1).
- 2009-03-09 22:02:51下载
- 积分:1
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MATLAB
用于初学MATLAB者一些基本资料
多项式求解等等(English Version)
- 2011-04-28 09:09:18下载
- 积分:1
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Linear
基于小波神经网络的横摇运动和预测的程序matlab程序(Based on wavelet neural network and prediction of roll motion matlab process procedures)
- 2011-05-07 13:51:52下载
- 积分:1
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case30
IEEE30节点数据 已验证 可运行 可借鉴(IEEE30 node data)
- 2012-06-05 11:26:34下载
- 积分:1
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adaboost
matlab code with adaboost algorithm
- 2015-01-08 01:48:56下载
- 积分:1
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TP_interferometrie
interferometry for images taken from a satelite that is moving and capturing sevaral successive images
- 2011-12-15 05:10:48下载
- 积分:1
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MATLABstudy
西安交大matlab教程[pdf],很好经典一本MATLAB教程(Xi)
- 2008-05-08 12:02:30下载
- 积分:1
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segment_ga
说明: 利用遗传算法进行图像分割(matlab源码)(The use of genetic image segmentation algorithm (matlab source))
- 2021-05-13 01:30:03下载
- 积分:1
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progream
Gaussian noise refers to its obey gaussian probability density function (i.e., normal distribution) of the noise. If a noise, its amplitude distribution obeys the gaussian distribution, and its power spectral density is uniformly distributed, has described it as a gaussian white noise. Were not associated with the second order moments of the gaussian white noise, a moment is constant, 所谓高斯噪声是指它的概率密度函数服从高斯分布(即正态分布)的一类噪声。如果一个噪声,它的幅度分布服从高斯分布,而它的功率谱密度又是均匀分布的,则称它为高斯白噪声。高斯白噪声的二阶矩不相关,一阶矩为常数,是指先后信号在时间上的相关性。高斯白噪声包括热噪声和散粒噪声。
(Gaussian noise refers to its obey gaussian probability density function (i.e., normal distribution) of the noise. If a noise, its amplitude distribution obeys the gaussian distribution, and its power spectral density is uniformly distributed, has described it as a gaussian white noise. Were not associated with the second order moments of the gaussian white noise, a moment is constant, refers to the correlation of signal in time. White gaussian noise including thermal noise and shot noise.
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- 2013-09-11 14:29:54下载
- 积分:1
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BarCode
hellowindow hellowindow hellowindow
- 2014-07-18 12:19:00下载
- 积分:1