MATLAB给图像添加高斯、椒盐、加性及乘性噪声[噪声生成]源代码Gaussian-Pepper-Noise-generator
标签： Gaussian-Pepper-Noise-generator MATLAB 图像 乘性噪声
上传时间： 2017-03-23
上传用户：dave520l
VC++ based Gaussian Noise Generator + Kalman Filter
标签： Generator Gaussian Filter Kalman
上传时间： 2016-09-06
上传用户：极客
A hardware Gaussian noise generator for channel code evaluation和A Gaussian noise generator for hardware-based simulations两篇关于高斯白噪声产生及信道估计的经典论文
标签： generator Gaussian noise evaluation
上传时间： 2017-09-09
上传用户：坏坏的华仔
Random Number Generators（随机数生成）包括gaussian random number generator、uniform random number generator、low-frequency hold generator、1/f noise generator等5种随机信号生成的c源代码
标签： generator random number Generators
上传时间： 2014-12-07
上传用户：edisonfather
Compute Classical detection threshold for radar detection under additive Gaussian white noise criterion and specified false alarm probability.
标签： detection Classical threshold additive
上传时间： 2013-12-09
上传用户：hwl453472107
Image enhancement in frequency domain using Fourier center frequency, Gaussian lowpass filter, Low pass filter, high pass filter. Image restoration using medean filter, weiner filter with noise generator such as Gaussian noise, Salt and Pepper noise
标签： frequency enhancement Gaussian Fourier
上传时间： 2017-08-24
上传用户：xinzhch
Compute Classical CFAR binary detection threshold for radar detection under additive Gaussian white noise criterion and specified false alarm probability.
标签： detection Classical threshold additive
上传时间： 2013-12-22
上传用户：希酱大魔王
noise image processing test gaussian salt pepper additive.非常容易的一个code
标签： processing gaussian additive pepper
上传时间： 2016-08-29
上传用户：woshiayin
This a Bayesian ICA algorithm for the linear instantaneous mixing model with additive Gaussian noise [1]. The inference problem is solved by ML-II, i.e. the sources are found by integration over the source posterior and the noise covariance and mixing matrix are found by maximization of the marginal likelihood [1]. The sufficient statistics are estimated by either variational mean field theory with the linear response correction or by adaptive TAP mean field theory [2,3]. The mean field equations are solved by a belief propagation method [4] or sequential iteration. The computational complexity is N M^3, where N is the number of time samples and M the number of sources.
标签： instantaneous algorithm Bayesian Gaussian
上传时间： 2013-12-19
上传用户：jjj0202
An adaptive Gaussian filter for noise reduction and edge detection
标签： detection reduction adaptive Gaussian
上传时间： 2014-01-08
上传用户：lunshaomo
