Results 21 to 30 of about 1,281,025 (295)
Graph Neural Network Aided Expectation Propagation Detector for MU-MIMO Systems [PDF]
IEEE Wireless Communications and Networking Conference, 2022 Multiuser massive multiple-input multiple-output (MU-MIMO) systems can be used to meet high throughput requirements of 5G and beyond networks. In an uplink MU-MIMO system, a base station is serving a large number of users, leading to a strong multi-user ...
Alva Kosasih +6 more
semanticscholar +1 more source
Investigation of the Current Situation of Museum Audio Exhibition in Beijing Area and Countermeasures [PDF]
SHS Web of Conferences, 2023 Audio, colorful and effective features are what the cultural inheritance pursues. However, the application status of audio exhibition in contemporary museums is very inconsistent.
Zhou Zihan +4 more
doaj +1 more source
Distributed Expectation Propagation Detection for Cell-Free Massive MIMO [PDF]
Global Communications Conference, 2021 In cell-free massive MIMO networks, an efficient distributed detection algorithm is of significant importance. In this paper, we propose a distributed expectation propagation (EP) detector for cell-free massive MIMO.
Hengtao He +5 more
semanticscholar +1 more source
Low-Complexity Scheduled Expectation Propagation Based on QRD and SIC
IEEE Communications Letters, 2023 This letter presents novel Expectation Propagation (EP) algorithms for Single User (SU) and Multiple Users (MU) Multiple-Input Multiple-Output (MIMO) detection that address the performance loss and slow convergence of classic Scalar EP (SEP) solutions ...
Adam Mekhiche +2 more
semanticscholar +1 more source
Sparse Linear Spectral Unmixing of Hyperspectral Images Using Expectation-Propagation [PDF]
IEEE Transactions on Geoscience and Remote Sensing, 2021 This article presents a novel Bayesian approach for hyperspectral image unmixing. The observed pixels are modeled by a linear combination of material signatures weighted by their corresponding abundances.
Zeng Li +4 more
semanticscholar +1 more source
Iterative Receiver Design for Probabilistic Constellation Shaping in ISI Channel
IEEE Access, 2020 This paper investigates the receiver design for probabilistic constellation shaping signaling over inter-symbol interference channel. The key component performing the constellation shaping is an adjustable distribution matcher, and the probabilistic ...
Xiang Li, Jing Wu, Wei Heng, Yang Huang
doaj +1 more source
IEEE Transactions on Signal Processing, 2021 It has been shown that direct target localization in distributed multiple input multiple output (MIMO) radar can outperform indirect localization significantly, but conventional direct localization methods suffer from both high computational complexity ...
Zehua Yu +3 more
semanticscholar +1 more source
Iterative Decision Feedback Equalization Using Online Prediction
IEEE Access, 2020 In this article, a new category of soft-input soft-output (SISO) minimum-mean square error (MMSE) finite-impulse response (FIR) decision feedback equalizers (DFEs) with iteration-wise static filters (i.e. iteration variant) is investigated.
Serdar Sahin +3 more
doaj +1 more source
Conditional Expectation Propagation
CoRR, 2019 Expectation propagation (EP) is a powerful approximate inference algorithm. However, a critical barrier in applying EP is that the moment matching in message updates can be intractable. Handcrafting approximations is usually tricky, and lacks generalizability. Importance sampling is very expensive. While Laplace propagation provides a good solution, it
Zheng Wang 0042, Shandian Zhe
openaire +3 more sources
An AMP-Based Low Complexity Generalized Sparse Bayesian Learning Algorithm
IEEE Access, 2019 In this paper, an approximate message passing-based generalized sparse Bayesian learning (AMP-Gr-SBL) algorithm is proposed to reduce the computation complexity of the Gr-SBL algorithm, meanwhile improving the robustness of the GAMP algorithm against the
Jiang Zhu, Lin Han, Xiangming Meng
doaj +1 more source