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邮电通讯系统 Generate the digital AWGN signal n[k] (sampled n(t)) by generating zero mean Gaussian random variab
Generate the digital AWGN signal n[k] (sampled n(t)) by generating zero mean
Gaussian random variables independently (separately) for each k MATLAB function random.
matlab例程 ％ EM algorithm for k multidimensional Gaussian mixture estimation ％ ％ Inputs: ％ X(n,d) - input da
％ EM algorithm for k multidimensional Gaussian mixture estimation
％
％ Inputs:
％ X(n,d) - input data, n=number of observations, d=dimension of variable
％ k - maximum number of Gaussian components allowed
％ ltol - percentage of the log likelihood difference between 2 iterations ([] for none)
％ ...
3G开发 This m file models a UWB system using BPSK with the fifth order derivative of the gaussian pulse wit
This m file models a UWB system using BPSK with the fifth order derivative of the gaussian pulse with correlation receiver and intgrator.
数学计算 对比卡尔曼滤波和维纳滤波对一阶gaussian-markov过程的滤波预测。
对比卡尔曼滤波和维纳滤波对一阶gaussian-markov过程的滤波预测。
matlab例程 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。
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。
文章/文档 noise image processing test gaussian salt pepper additive.非常容易的一个code
noise image processing test gaussian salt pepper additive.非常容易的一个code
生物技术 VC++ based Gaussian Noise Generator + Kalman Filter
VC++ based Gaussian Noise Generator + Kalman Filter
matlab例程 gmmTrain: Parameter training for gaussian mixture model (GMM)
gmmTrain: Parameter training for gaussian mixture model (GMM)
数学计算 Will perform 3D Gaussian quadrature over a user-defined volume. The volume is defined by the user wi
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.
数值算法/人工智能 The "GEE! It s Simple" package illustrates Gaussian elimination with partial pivoting, which produce
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 s ...