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Reconstructing Structured Sparse Signals from Compressive Samples via a Max-Product EM Algorithm
Belief propagation expectation maximization (EM) algorithm hidden Markovtree(HMT) max-productalgo-rithm,structured sparsity,sparse signal reconstruction.
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2012/11/22
We propose a Bayesian expectation-maximization (EM) algorithm for reconstructing structured approximately sparse signals via belief propagation. The measurements follow an underdetermined linear model...
Simulation of Pair Production in Extreme Strong EM Fields
Schwinger-mechanism pair production space-time dependent fields
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2012/5/29
In this article we review a theoretical framework for pair production from strong external electromagnetic fields. We propose a numerical method to solve the resulting equations of motion and present ...
Monte Carlo study on the low momentum μ-π identification of the BESⅢ EM calorimeter
BESⅢ calorimeter particle identification artificial neural network
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2009/9/17
The BESⅢ detector has a high-resolution electromagnetic calorimeter which can be used for low momentum μ-π identification. Based on Monte Carlo simulations, μ-π separation was studied. A multilayer pe...
对3.7A GeV 16O-Em作用产生的慢粒子标度阶乘矩分布进行研究, 得出间歇指数随矩阶数的增加而增加, 随靶核质量的增加而减小; 反常分形维数
随q的增加而增加; 对于每一个q值, dq随平均多重数的增加而减小,
表明在3.7A GeV 16O-Em作用中多粒子产生具有自相似级联的性质.
基于各类各向异性的EM-MAP-HMRF多源遥感图像融合算法
图像融合 Markov随机场 EM算法 各类各向异性 分布式融合 集中式融合
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2010/9/26
为提高目标识别率，在目标图像融合过程中引入Markov随机场建立类别的先验分布模型，针对模型中参数 的选取问题，提出了基于各类各向异性的EM-MAP-HMRF（Expectation-Maximization,期望最大化；Maximum Aprior Probability,最大后验概率；Hierarchical Markov Random Field, 多层次马尔可夫随机场）集中式与分布式两种图...
Lossy model for EM scattering from superconducting film deposited on discrete LaAlo3,substrate
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2007/7/28
期刊信息
篇名
Lossy model for EM scattering from superconducting film deposited on discrete LaAlo3,substrate
语种
英文
撰写或编译
作者
戎敖生，王蕴仪
第一作者单位
刊物名称
Electronics Letters
页面
1993.07，Vol,29No,7,P595
出版日期
1993年
月
日
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