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极大似然参数估计,对于已知输入输出数据的情况下,对系统的参数进行估计。-Maximum Likelihood Parameter estimation, for the case of known input and output data to estimate the parameters of the system.
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增广最小二乘的递推算法对应的噪声模型为滑动平均噪声,扩充了参数向量和数据向量H(k)的维数,把噪声模型的辨识同时考虑进去。最小二乘法只能获得过程模型的参数估计,而增广最小二乘法同时又能获得噪声模型的参数估计,若噪声模型为平均滑动模型,,则只能用RELS算法才能获得无偏估计。当数据长度较大时,辨识精度低于极大似然法。-Augmented least squares of recursion algorithm corresponding noise model for moving average
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在统计计算中,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)。最大期望经常用在机器学习和计算机视觉的数据聚类(Data Clustering)领域。
-In the statistical calculations, the maximum expected (EM) algorithm parameter maximum likelihood estimate
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条件极大似然算法(Conditional Maximum Likelihood)的实现:使用十字型天线阵列对信号源的来波方向(仅限于方位角)进行估计(DOA估计),可以选择信号的传播信道为高斯,瑞利或是莱斯信道。-A program achieves DOA Estimation using Conditional Maximum Likelihood Method,and its array it s a across one.
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经典文章“Maximum marginal likelihood estimation for nonnegative dictionary learning in the Gamma-Poisson Model”源代码-Classic article " Maximum marginal likelihood estimation for nonnegative dictionary learning in the Gamma-Poisson Model" source co
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em算法计算混合高斯模型的参数估计,极大似然,EM算法用于K均值问题的参数估计。MATLAB实现有代码-em algorithm Gaussian mixture model parameter estimation, maximum likelihood parameter estimation for K-means problem EM algorithm. MATLAB implementation code
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极大似然估计是一种很有用的办法,可以用MATLAB来实现,事实上,极大似然与最小二乘估计结果是相同的-MLE is a very useful way, you can use MATLAB to achieve, in fact, maximum likelihood and least squares estimation results are the same
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基于压缩感知,利用最大似然函数进行DOA估计的两种方法-Based on compressed sensing, using the maximum likelihood function of the two methods for DOA Estimation
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2类分类高斯模型
每个类是由一个单一的多元高斯分布的3-D建模
显示如何估计高斯均值向量和协方差矩阵的最大似然(ML)估计的基础上为每个类。
meanA和meanB代表每个类的均值,varA和varB的的代表每个类的协方差矩阵.-2-class classifier with Gaussian Models
Each class is modelled by a single 3-D multivariate Gaussian distribution
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展示了线性、DFE、MLSE均衡器的信噪比性能,并通过蒙特卡罗模拟信道估计结果确定。-This demo shows the BER performance of linear, decision feedback (DFE), and maximum likelihood sequence estimation (MLSE) equalizers when operating in a static channel with a deep null. The MLSE equalizer i
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lda的matlab实现,lda is a Latent Dirichlet Allocation (Blei et al., 2001) package written both in MATLAB and C (command line interface).
This package provides only a standard variational Bayes estimation that was first proposed, but has a simple textua
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Frame collision set size: code describe different tag estimation functions: H.Vogt maximum likelihood-Frame collision set size: code describe different tag estimation functions: H.Vogt maximum likelihood...
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极大似然函数参数估计,mle参数估计实现方法-Maximum Likelihood function parameter estimation, mle parameter estimation method to achieve
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Approximate Maximum Likelihood 算法处理DOA估计的Matlab算法代码-matlab function for DOA estimation using Approximate Maximum Likelihood method
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基于CP的最大似然估计仿真图,两幅图,分别是符号定时偏差,以及频偏,从图中可以看出在符号定时估计最大处,相应的频偏估计值也是最接近的-CP-based maximum likelihood estimate simulation map, two maps, are a symbol timing offset, and frequency offset, it can be seen the figure in the symbol timing estimation is maximum,
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Maximum-Likelihood Parameter Estimation
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《空间谱估计理论与算法》一书中介绍的ML最大似然算法,如果有用请点推荐-ML maximum likelihood algorithm " spatial spectrum estimation theory and algorithms," a book described, if helpful please recommend
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Maximum Likelihood DOA Estimation
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包含光伏电池模块、MPPT模块、BOOST模块、逆变模块,vKDErGS参数最大似然(ML)准则和最大后验概率(MAP)准则,对HARQ系统的吞吐量分析,虚拟力的无线传感网络覆盖,VHxSyct条件部分实现了追踪测速迭代松弛算法,现代信号处理中谱估计在matlab中的使用。- PV modules contain, MPPT module, BOOST module, inverter module, vKDErGS parameter Maximum Likelihood (ML) crit
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matlab开发工具箱中的支持向量机,igahZPy参数是路径规划的实用方法,最大似然(ML)准则和最大后验概率(MAP)准则,是国外的成品模型,fFEVXrr条件均值便宜跟踪的示例,现代信号处理中谱估计在matlab中的使用。- matlab development toolbox support vector machine, igahZPy parameter Is a practical method of path planning, Maximum Likelihood (ML)
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