Improved Frequency Domain Turbo Equalization with Expectation Propagation Interference Cancellation in Underwater Acoustic Communications [PDF]
Sensors, 2023 This paper proposes an improved frequency domain turbo equalization (IFDTE) with iterative channel estimation and feedback to achieve both a good performance and low complexity in underwater acoustic communications (UWACs).
Bin Jiang +5 more
doaj +2 more sources
Bilinear Expectation Propagation for Distributed Semi-Blind Joint Channel Estimation and Data Detection in Cell-Free Massive MIMO [PDF]
IEEE Open Journal of Signal Processing, 2023 We consider a cell-free massive multiple-input multiple-output (CF-MaMIMO) communication system in the uplink transmission and propose a novel algorithm for blind or semi-blind joint channel estimation and data detection (JCD).
Alexander Karataev +2 more
doaj +2 more sources
Expectation propagation for large scale Bayesian inference of non-linear molecular networks from perturbation data. [PDF]
PLoS ONE, 2017 Inferring the structure of molecular networks from time series protein or gene expression data provides valuable information about the complex biological processes of the cell.
Zahra Narimani +4 more
doaj +2 more sources
EXpectation Propagation LOgistic REgRession on permissioned blockCHAIN (ExplorerChain): decentralized online healthcare/genomics predictive model learning. [PDF]
J Am Med Inform Assoc, 2020 Objective Predicting patient outcomes using healthcare/genomics data is an increasingly popular/important area. However, some diseases are rare and require data from multiple institutions to construct generalizable models.
Kuo TT +3 more
europepmc +2 more sources
Enhance the Performance of Expectation Propagation Detection in Spatially Correlated Massive MIMO Channels via DFT Precoding [PDF]
EntropyExpectation Propagation (EP) has emerged as a promising detection algorithm for large-scale multiple-input multiple-output (MIMO) systems owing to its excellent performance and practical complexity.
Huaicheng Luo +4 more
doaj +2 more sources
Expectations in Expectation Propagation
2025 59th Asilomar Conference on Signals, Systems, and ComputersExpectation Propagation (EP) is a widely used message-passing algorithm that decomposes a global inference problem into multiple local ones. It approximates marginal distributions (beliefs) using intermediate functions (messages). While beliefs must be proper probability distributions that integrate to one, messages may have infinite integral values ...
Zilu Zhao, Fangqing Xiao, Dirk Slock
openaire +3 more sources
Expectation Propagation for Flat-Fading Channels
IEEE Wireless Communications Letters, 2023 This letter addresses the problem of signal detection in flat-fading channels. In this context, receivers based on the expectation propagation framework appear to be very promising although presenting some critical issues. We develop a new algorithm based on this framework where, unlike previous works, convergence is achieved after a single forward ...
Conti E. +3 more
openaire +4 more sources
Applied Sciences, 2022 Only a specific location can make sensor data useful. The paper presents an simplify belief propagation and variation expectation maximization (SBPVEM) algorithm to achieve node localization by cooperating with another target node while lowering ...
Xueying Wang +5 more
doaj +3 more sources
, 2015 Abstract Variational inference is a powerful concept that underlies many iterative approximation algorithms: expectation propagation, mean-field methods, belief propagation, and TAP equations can all be perceived in terms of this unifying framework.
Manfred Opper
exaly +2 more sources
A probabilistic soft-classification framework for estimating forest aboveground carbon stocks with uncertainty in a small-sample mountainous region [PDF]
Frontiers in Plant ScienceIntroductionForest aboveground biomass (AGB) is a critical carbon reservoir, and forest aboveground carbon stock (AGCS) is an important indicator of ecosystem carbon sequestration potential.
Siqi Meng +5 more
doaj +2 more sources