Search Results - "Generalized expectation maximization algorithm"

Multiple testing for neuroimaging via hidden Markov random field by Shu, Hai, Nan, Bin, Koeppe, Robert

“…Traditional voxel-level multiple testing procedures in neuroimaging, mostly p-value based, often ignore the spatial correlations among neighboring voxels and…”
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Research on Multi-Parameter Optimization of Indoor WiFi Positioning Technology by WANG Yingying, CHANG Jun, WU Hao

“…The existing WiFi-based indoor positioning technology is affected by the number of antennas and channel bandwidth, and has the problems of low positioning…”
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Generalized expectation–maximization approach to LPV process identification with randomly missing output data by Yang, Xianqiang, Huang, Biao, Zhao, Yujia, Lu, Yaojie, Xiong, Weili, Gao, Huijun

“…This paper considers parameter estimation for linear parameter varying (LPV) systems with randomly missing output data. The multi-model LPV model is adopted…”
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Asynchronous Linear Modulation Classification With Multiple Sensors via Generalized EM Algorithm by Ozdemir, Onur, Wimalajeewa, Thakshila, Dulek, Berkan, Varshney, Pramod K., Wei Su

“…In this paper, we consider the problem of automatic modulation classification with multiple sensors in the presence of unknown time offset, phase offset and…”
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Maximum weighted likelihood estimator for robust heavy-tail modelling of finite mixture models by Fung, Tsz Chai

“…Insurance claim severity data are characterized by complex distributional phenomenons, where flexible density estimation tools such as the finite mixture…”
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Model-Based Clustering and Classification Using Mixtures of Multivariate Skewed Power Exponential Distributions by Dang, Utkarsh J., Gallaugher, Michael P.B., Browne, Ryan P., McNicholas, Paul D.

“…Families of mixtures of multivariate power exponential (MPE) distributions have already been introduced and shown to be competitive for cluster analysis in…”
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Self-tuning robust adjustment within multivariate regression time series models with vector-autoregressive random errors by Kargoll, Boris, Kermarrec, Gaël, Korte, Johannes, Alkhatib, Hamza

“…The iteratively reweighted least-squares approach to self-tuning robust adjustment of parameters in linear regression models with autoregressive (AR) and…”
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Deep GEM-Based Network for Weakly Supervised UWB Ranging Error Mitigation by Li, Yuxiao, Mazuelas, Santiago, Shen, Yuan

“…Ultra-wideband (UWB)-based techniques, while becoming mainstream approaches for high-accurate positioning, tend to be challenged by ranging bias in harsh…”
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Underdetermined Convolutive Source Separation Using GEM-MU With Variational Approximated Optimum Model Order NMF2D by Al-Tmeme, Ahmed, Woo, Wai Lok, Dlay, Satnam Singh, Gao, Bin

“…An unsupervised machine learning algorithm based on nonnegative matrix factor Two-dimensional deconvolution (NMF2D) with approximated optimum model order is…”
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Distributed asynchronous modulation classification based on hybrid maximum likelihood approach by Wimalajeewa, Thakshila, Jagannath, Jithin, Varshney, Pramod K., Drozd, Andrew, Wei Su

“…In this paper, we consider the problem of automatic modulation classification (AMC) with multiple sensors. A distributed hybrid maximum likelihood (HML) based…”
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Hammerstein System Identification with Skewed and Asymmetric Noise by Wang, Chen, Liu, Xin

“…To eliminate the negative effect brought by the skewed and asymmetric measurement noise, this paper proposes a robust identification algorithm for the…”
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Channel Parameter Extraction Based on BP-Neural Network in NLOS Environment by Hu, Zhexin, Bu, Fanliang, Ding, Dandan

“…The extraction of wireless channel parameters is important for channel modeling and wireless resource scheduling in complex environments. Based on QuaDriGa…”
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Joint Channel Estimation, Interference Cancellation, and Data Detection for Ambient Backscatter Communications by Darsena, Donatella, Gelli, Giacinto, Verde, Francesco

“…This paper deals with the problem of joint channel estimation, interference suppression, and data detection for ambient backscatter communications, where a…”
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Robust global identification of linear parameter varying systems with generalised expectation–maximisation algorithm by Yang, Xianqiang, Lu, Yaojie, Yan, Zhibin

“…In this study, a robust approach to global identification of linear parameter varying (LPV) systems in an input–output setting is proposed. In practice, the…”
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