这个Matlab程序计算在高斯白噪声（Additive White Gaussian Channel ）下BPSK调制中的错误概率。
标签： Additive Gaussian Channel Matlab
上传时间： 2014-01-13
上传用户：gtzj
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
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
markov matlab code, give a detail impletation of markov procedure
标签： markov impletation procedure detail
上传时间： 2016-10-15
上传用户：stella2015
markov matlab code, give a detail impletation of markov procedure
标签： markov impletation procedure detail
上传时间： 2014-07-18
上传用户：songyue1991
gmmTrain: Parameter training for gaussian mixture model (GMM)
标签： Parameter gmmTrain gaussian training
上传时间： 2014-01-16
上传用户：chenbhdt
Will perform 3D Gaussian quadrature over a user-defined volume. The volume is defined by the user with function definitions entered in the appropriate spaces provided on the GUI. The user can change the number of Gauss points to use. Function inputs need not accept vector args.
标签： volume user-defined quadrature Gaussian
上传时间： 2013-12-13
上传用户：417313137
The "GEE! It s Simple" package illustrates Gaussian elimination with partial pivoting, which produces a factorization of P*A into the product L*U where P is a permutation matrix, and L and U are lower and upper triangular, respectively. The functions in this package are accurate, but they are far slower than their MATLAB equivalents (x=A\b, [L,U,p]=lu(A), and so on). They are presented here merely to illustrate and educate. "Real" production code should use backslash and lu, not this package.
标签： illustrates elimination Gaussian pivoting
上传时间： 2016-11-09
上传用户：wang5829
The "GEE! It s Simple" package illustrates Gaussian elimination with partial pivoting, which produces a factorization of P*A into the product L*U where P is a permutation matrix, and L and U are lower and upper triangular, respectively. The functions in this package are accurate, but they are far slower than their MATLAB equivalents (x=A\b, [L,U,p]=lu(A), and so on). They are presented here merely to illustrate and educate. "Real" production code should use backslash and lu, not this package.
标签： illustrates elimination Gaussian pivoting
上传时间： 2014-01-21
上传用户：lxm
高斯滤波器 matlab toolbox For GMMs and Gaussian kernels
标签： Gaussian kernels toolbox matlab
上传时间： 2014-02-28
上传用户：1051290259
