這個(gè)Matlab程序計(jì)算在高斯白噪聲（Additive White Gaussian Channel ）下BPSK調(diào)制中的錯(cuò)誤概率。
標(biāo)簽： Additive Gaussian Channel Matlab
上傳時(shí)間： 2014-01-13
上傳用戶：gtzj
noise image processing test gaussian salt pepper additive.非常容易的一個(gè)code
標(biāo)簽： processing gaussian additive pepper
上傳時(shí)間： 2016-08-29
上傳用戶：woshiayin
VC++ based Gaussian Noise Generator + Kalman Filter
標(biāo)簽： Generator Gaussian Filter Kalman
上傳時(shí)間： 2016-09-06
上傳用戶：極客
markov matlab code, give a detail impletation of markov procedure
標(biāo)簽： markov impletation procedure detail
上傳時(shí)間： 2016-10-15
上傳用戶：stella2015
markov matlab code, give a detail impletation of markov procedure
標(biāo)簽： markov impletation procedure detail
上傳時(shí)間： 2014-07-18
上傳用戶：songyue1991
gmmTrain: Parameter training for gaussian mixture model (GMM)
標(biāo)簽： Parameter gmmTrain gaussian training
上傳時(shí)間： 2014-01-16
上傳用戶：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.
標(biāo)簽： volume user-defined quadrature Gaussian
上傳時(shí)間： 2013-12-13
上傳用戶：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.
標(biāo)簽： illustrates elimination Gaussian pivoting
上傳時(shí)間： 2016-11-09
上傳用戶：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.
標(biāo)簽： illustrates elimination Gaussian pivoting
上傳時(shí)間： 2014-01-21
上傳用戶：lxm
高斯濾波器 matlab toolbox For GMMs and Gaussian kernels
標(biāo)簽： Gaussian kernels toolbox matlab
上傳時(shí)間： 2014-02-28
上傳用戶：1051290259
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