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该文件夹为Alamouti空时码的仿真程序，天线配置为2发2收。
主要程序的用途说明：
mainMIMO_OFDMA_2Tx_SER.m: 主程序，设置各种参数
gendata.m: 生成原始信息数据的程序
mod_2Tx_STBC_DFUSC.m：调制程序
gen_SUI_CorrCIR.m: 生成信道冲击响应的程序
get_perfectCE_2x2.m: 生成理想信道估计值的程序
chanSUI_corr_2x2.m: 发送信号通过SUI信道的程序
addA
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In this article, we present an overview of methods for sequential simulation from posterior distributions.
These methods are of particular interest in Bayesian filtering for discrete time dynamic models
that are typically nonlinear and non-Gaussi
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％ EM algorithm for k multidimensional Gaussian mixture estimation
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％ 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 likeli
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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 mixin
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神经网络 高斯分布 最大后验估计 最大似然估计-Neural network Gaussian maximum a posteriori estimate maximum likelihood estimate
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实现混合高斯模型的聚类算法 利用最大似然估计和最大期望的方法来实现混合高斯模型-Gaussian mixture model to achieve clustering algorithm using the maximum likelihood estimation and the greatest way to achieve the desired mixed-Gaussian model
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最大的高斯混合模型似然估计的期望最大化算法-Maximum likelihood estimation of Gaussian mixture model by expectation maximization algorithm
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实现了一个产生符合高斯分布的随机数发生器，并用最大似然估计法估算其方差及均值-Produced in line with the realization of a Gaussian distribution of the random number generator, and the maximum likelihood estimation method to estimate their variance and mean
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SPATIALLY ADAPTIVE NON-GAUSSIAN IMAGING VIA FITTED LOCAL LIKELIHOOD TECHNIQUE.
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Phase noise resulting in Common Phase Error
(CPE) and Inter-Carrier Interference (ICI) is a critical challenge
to the implementation of OFDM systems. Modeling phase noise
as a stationary Gaussian random process with the specified
power spectr
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EXIT图绘制中根据要求的互信息度量生成(高斯分布)先验似然值-generating (Gaussian) priori likelihood values for a given mutual information measurement
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Cognitive radio frequency spectrum detection-The spectrum sensing of a wideband frequency range is studied by dividing it into multiple subbands.
It is assumed that in each subband either a primary user (PU) is active or absent in a additive white
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Mixture of linear regressors. The routines contained in this file allow inference and learning of a mixture of linear-Gaussian regression models. Learning is performed by maximizing the data likelihood via the expectation maximization algorithm.
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《Software for Flexible Bayesian Modeling and Markov Chain Sampling》是机器学习领域专家Neal编写的用于Bayesian和马尔可夫链Linux下的C语言工具包。很有名，也很权威。
-This software supports Bayesian regression and classification models based on neural networks and Gaussian processes, and Ba
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Maximum likelihood estimation for mixed gaussian function
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参数估计时用极大似然可以在处理二维图像时，如果服从高斯分布或者Rayleigh分布时进行参数估计方法，是经常用到的一种估计方法-Maximum Likihood estimated mathod.if the math is Gaussian or Rayleigh ,then you can use this mathod,is useful.
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This documents explains in details with examples of the use Expectation Maximisation algorithm for maximum likelihood estimation in Gaussian mixtures.
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Maximum Likelihood Estimation
Step 1. : Estimate the mean vector and covariance of an arbitrary 3-class dataset with bi-variate Gaussian distribution by maximum likelihood estimation
An arbitrary 3-class dataset is given (by Dataset.mat) and t
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Die Maximum-Likelihood-Methode,matlab-likelihood analysis of exponential distribution,Likelihood fit of exponential folded with
gaussian using MATLAB function fmins (simplex algorithm)
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适合初学者了解似然函数，高斯回归函数，方便快捷了解(Suitable for beginners to understand the likelihood function, Gauss regression function)
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