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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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EM算法Matlab实现。最大期望（EM）算法是在概率（probabilistic）模型中寻找参数最大似然估计或者最大后验估计的算法，其中概率模型依赖于无法观测的隐藏变量（Latent Variable）-EM algorithm by Matlab. Maximum expected (EM) algorithm is probabilistic (probabilistic) model to find maximum likelihood parameter estimation or m
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请录制语音信号集 （不能少于五个语音），然后根据最大似然估计方法，利用MATLAB设计一识别程序，并实现。-Please record a voice signal is set (not less than five voice), then maximum likelihood estimation method, using MATLAB to design a recognition program, and implementation.
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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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最大似然估计算法，应用于多参数模型，例如gps领域-Maximum likelihood estimation algorithm applied to multi-parameter model, for example, the field gps
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极化SAR图像多纹理最大似然处理滤波算法，可以生成处理后的四个通道图像数据。-Multi-polarization SAR image texture filtering deal with maximum-likelihood algorithm, can be generated after the deal with the four-channel image data.
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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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关于模型辨识的MATLAB仿真源码。有使用最小二乘的建模，有极大似然估计建模的方法。每个重点例句都有详细的解释。-On the MATLAB simulation model of source identification. Modeling the use of least squares, and maximum likelihood estimation method of modeling. Each key has a detailed explanation of examples
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MATLAB Toolbox for econometric modeling of time series. E4 makes up for the lack of PC software for estimating econometric models by exact maximum likelihood.
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How to use the HMM toolbox
HMMs with discrete outputs
Maximum likelihood parameter estimation using EM (Baum Welch)
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Probabilistic Principal Component Analysis
– Latent variable models
– Probabilistic PCA
• Formulation of PCA model
• Maximum likelihood estimation
– Closed form solution
– EM algorithm
» EM Algorithms for regular PCA
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在统计学中，最大后验（英文为Maximum a posteriori，缩写为MAP）估计方法根据经验数据获得对难以观察的量的点估计。它与最大似然估计中的 Fisher 方法有密切关系，但是它使用了一个增大的优化目标，这种方法将被估计量的先验分布融合到其中。所以最大后验估计可以看作是规则化（regularization）的最大似然估计。
-In statistics, the maximum a posteriori (English as a Maximum a posteriori, ab
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a noive maximum likelihood estimation for linear model by MLE
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maximum likelihood estimation method can be used to very broad estimation
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统计信号处理实验 最大似然估计
有完整的实验报告个、和源代码-Maximum likelihood estimation for statistical signal processing experiments
Have complete experiment report, and source code
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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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Maximum likelihood detection for MIMO. all supporting file
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极大似然和差分算法信道估计算法,仿真结果表明其优越性和良好的性能-The algorithm mainly shows the research process of maximum likelihood and difference algorithm, and the simulation results
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最小二乘，极大似然定位算法，其中包括二维和三维的最小均方误差定位算法以及连续定位算法(Least squares, maximum likelihood localization algorithm, which includes two-dimensional and three-dimensional minimum mean square error localization algorithm and continuous positioning algorithm)
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MUSIC, Maximum Likelihood, and Cramer-Rao Bound
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