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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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一个很有用的程序,ML法能够很好的估计信号的信噪比,最大似然(ML)准则和最大后验概率(MAP)准则。- A very useful program, ML estimation method can be a good signal to noise ratio, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion.
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最大似然(ML)准则和最大后验概率(MAP)准则,是学习PCA特征提取的很好的学习资料,基于互功率谱的时延估计。- Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, Is a good learning materials to learn PCA feature extraction, Based on the time delay estimation of power spectrum.
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最大似然(ML)准则和最大后验概率(MAP)准则,旋转机械二维全息谱计算,可以得到很精确的幅值、频率、相位估计。- Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, Rotating machinery 2-d holographic spectrum calculation, You can get a very accurate amplitude, frequency, phase esti
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最大似然(ML)准则和最大后验概率(MAP)准则,最小均方误差(MMSE)的算法,通过虚拟阵元进行DOA估计。- Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, Minimum mean square error (MMSE) algorithm, Conducted through virtual array DOA estimation.
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通过反复训练模板能有较高的识别率,最大似然(ML)准则和最大后验概率(MAP)准则,现代信号处理中谱估计在matlab中的使用。- Through repeated training XHNrrYGlate have higher recognition rate, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, Modern signal processing used in the spec
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最大似然(ML)准则和最大后验概率(MAP)准则,毕设内容,高光谱图像基本处理,现代信号处理中谱估计在matlab中的使用。- Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, Complete set content, basic hyperspectral image processing, Modern signal processing used in the spectral estim
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最大似然(ML)准则和最大后验概率(MAP)准则,这是一个好用的频偏估计算法的matlab仿真程序,基于欧几里得距离的聚类分析。
- Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, This is a useful frequency estimation algorithm matlab simulation program, Clustering analysis based on Eu
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包括广义互相关函数GCC时延估计,esprit算法对有干扰的信号频率进行估计,最大似然(ML)准则和最大后验概率(MAP)准则。- Including the generalized cross-correlation function GCC time delay estimation, esprit algorithm signal frequency interference can be assessed Maximum Likelihood (ML) criteria and maxi
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要对单变量正态分布以及分类分布两种概率分布 模型,分别采用最大似然(ML),最大后验(MAP)以及贝叶斯估计(Bayes)的 方法进行概率密度估计。 -In this paper, the maximum likelihood (ML), maximum a posteriori (MAP) and Bayesian estimation (Bayes) methods are used to estimate the probability density of two kinds of pr
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贝叶斯估计,最大似然估计,Fisher线性识别和K均值(Bias estimation, maximum likelihood)
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matlab最大似然优化与交叉熵(CE)多高斯混合估计算法的应用(Maximum Likelihood Optimization and Cross Entropy (CE) Multi - Gaussian Mixture Estimation Algorithm)
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Iterative self-organizing data analysis, Conducted through virtual array DOA estimation, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion.
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Least-squares regression analysis algorithm, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, Based on the time delay estimation of power spectrum.
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对于单输入单输出的系统(Single input single output,SISO)常采用最小二乘方法辨识系统的参数。最小二乘参数估计是一个经典的方法,概念简明,适应范围广,来源于数理统计的回归分析,它能提供一个在最小方差意义上与实验数据最好拟合的模型,在一些情况下,可得到与极大似然法一样好的统计效果,并能很方便地与其它辨识算法建立关系。在一定条件下,最小二乘法参数估计法有最佳的统计特性,即一致的、无偏的和有效的结果。本代码主要关于使用递推最小二乘辨识方法与增广最小二乘辨识方法辨识模型参数,
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在混合高斯模型参数估计方法上有很多方法,例如最大似然函数的EM算法,但是该算法容易出现过拟合,故本文提出了一个变分EM的算法来对参数进行估计,可以避免EM算法中的不足。
下面的示例文件中说明了使用下面的示例文件说明了用法
examplevbem,VBEM M示例文件
faithful.txt数据集为例(The parameters of Gauss mixture model estimation method has a lot of methods, such as the maxim
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主要是混合高斯模型的参数估计方法,运用的是最大似然函数EM算法。文件中包含训练数据。(The parameter estimation method of the mixed Gauss model is mainly based on the maximum likelihood function EM algorithm. The file contains training data.)
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Functions
kalman_filter
kalman_smoother - implements the RTS equations
learn_kalman - finds maximum likelihood estimates of the parameters using EM
sample_lds - generate random samples
AR_to_SS - convert Auto Regressive model of order k to State
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极大似然参数辨识,以及递推的极大似然参数估计应用示例(加上有色噪声)。(Maximum likelihood parameter identification, and recursive maximum likelihood parameter estimation application examples (plus colored noise).)
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DVHOP定位,一种基于非测距的极大似然定位算法的误差评估(DVHOP location, a maximum likelihood location algorithm based on non ranging, and error estimation.)
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