Copertina

Physically constrained unfolded multi-dimensional OMP for large MIMO systems

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Klaimi, Nay, Elvira, Clément, Mary, Philippe, Magoarou, Luc Le
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Signal Processing Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Multi-dimensional hierarchical dictionary search for large MIMO-OFDM systems
di: Klaimi, Nay, et al.
Pubblicazione: (2026)

Model-based learning for joint channel estimationand hybrid MIMO precoding
di: Klaimi, Nay, et al.
Pubblicazione: (2025)

Near Field Localization via AI-Aided Subspace Methods
di: Gast, Arad, et al.
Pubblicazione: (2025)

Efficient Frequency Selective Surface Analysis via End-to-End Model-Based Learning
di: Hammami, Cheima, et al.
Pubblicazione: (2024)

Model-based learning for multi-antenna multi-frequency location-to-channel mapping
di: Chatelier, Baptiste, et al.
Pubblicazione: (2024)

CSI Compression using Channel Charting
di: Chatelier, Baptiste, et al.
Pubblicazione: (2024)

Average and Worst-case Analysis of MIMO Beamforming Loss due to Hardware Impairments
di: Chen, Xuan, et al.
Pubblicazione: (2025)

Physically Parameterized Differentiable MUSIC for DoA Estimation with Uncalibrated Arrays
di: Chatelier, Baptiste, et al.
Pubblicazione: (2024)

How to warm-start your unfolding network
di: Kouni, Vicky
Pubblicazione: (2025)

Model-based Implicit Neural Representation for sub-wavelength Radio Localization
di: Chatelier, Baptiste, et al.
Pubblicazione: (2025)

ISDNN: A Deep Neural Network for Channel Estimation in Massive MIMO systems
di: Son, Do Hai, et al.
Pubblicazione: (2024)

Data-driven Nonlinear Modal Analysis with Physics-constrained Deep Learning: Numerical and Experimental Study
di: Rostamijavanani, Abdolvahhab, et al.
Pubblicazione: (2025)

A multi-dimensional unsupervised machine learning framework for clustering residential heat load profiles
di: Michalakopoulos, Vasilis, et al.
Pubblicazione: (2024)

Statistical Multiport-Network Modeling and Efficient Discrete Optimization of RIS
di: Hammami, Cheima, et al.
Pubblicazione: (2025)

Including Node Textual Metadata in Laplacian-constrained Gaussian Graphical Models
di: Wang, Jianhua, et al.
Pubblicazione: (2026)

Symmetry constrained neural networks for detection and localization of damage in metal plates
di: Amarel, James, et al.
Pubblicazione: (2024)

A Transformer Inspired AI-based MIMO receiver
di: Rácz, András, et al.
Pubblicazione: (2025)

Generalization analysis of an unfolding network for analysis-based Compressed Sensing
di: Kouni, Vicky, et al.
Pubblicazione: (2023)

EqDeepRx: Learning a Scalable MIMO Receiver
di: Honkala, Mikko, et al.
Pubblicazione: (2026)

Over-the-Air Inference over Multi-hop MIMO Networks
di: Bian, Chenghong, et al.
Pubblicazione: (2025)

Downlink MIMO Channel Estimation from Bits: Recoverability and Algorithm
di: Shrestha, Rajesh, et al.
Pubblicazione: (2024)

A Novel Transformer-Based Self-Supervised Learning Method to Enhance Photoplethysmogram Signal Artifact Detection
di: Le, Thanh-Dung, et al.
Pubblicazione: (2024)

Optimal blind focusing on perturbation-inducing targets in sub-unitary complex media
di: Sol, Jérôme, et al.
Pubblicazione: (2024)

f-GAN: A frequency-domain-constrained generative adversarial network for PPG to ECG synthesis
di: Kong, Nathan C. L., et al.
Pubblicazione: (2024)

Optimizing Multicarrier Multiantenna Systems for LoS Channel Charting
di: Yassine, Taha, et al.
Pubblicazione: (2023)

Diffusion-based Generative Prior for Low-Complexity MIMO Channel Estimation
di: Fesl, Benedikt, et al.
Pubblicazione: (2024)

Compression of Site-Specific Deep Neural Networks for Massive MIMO Precoding
di: Kasalaee, Ghazal, et al.
Pubblicazione: (2025)

Deep Learning-Based Channel Extrapolation for Dual-Band Massive MIMO Systems
di: Xiao, Qikai, et al.
Pubblicazione: (2026)

VecComp: Vector Computing via MIMO Digital Over-the-Air Computation
di: Razavikia, Saeed, et al.
Pubblicazione: (2025)

Multi-Block Attention for Efficient Channel Estimation in IRS-Assisted mmWave MIMO
di: Momen-Tayefeh, Mehrdad, et al.
Pubblicazione: (2026)

Joint Sparsity Pattern Learning Based Channel Estimation for Massive MIMO-OTFS Systems
di: Meng, Kuo, et al.
Pubblicazione: (2024)

Lightweight Learning for Grant-Free Activity Detection in Cell-Free Massive MIMO Networks
di: Elkeshawy, Ali, et al.
Pubblicazione: (2025)

Joint Multi-Target Detection-Tracking in Cognitive Massive MIMO Radar via POMCP
di: Bouhou, Imad, et al.
Pubblicazione: (2025)

Universal Approximation with XL MIMO Systems: OTA Classification via Trainable Analog Combining
di: Stylianopoulos, Kyriakos, et al.
Pubblicazione: (2025)

A Low-Complexity Plug-and-Play Deep Learning Model for Generalizable Massive MIMO Precoding
di: Karkan, Ali Hasanzadeh, et al.
Pubblicazione: (2026)

RSS map-assisted MIMO channel estimation in the upper mid-band under pilot constraints
di: Javid, Alireza, et al.
Pubblicazione: (2026)

Channel Estimation via Successive Denoising in MIMO OFDM Systems: A Reinforcement Learning Approach
di: Oh, Myeung Suk, et al.
Pubblicazione: (2021)

Towards Smarter Sensing: 2D Clutter Mitigation in RL-Driven Cognitive MIMO Radar
di: Umra, Adam, et al.
Pubblicazione: (2025)

Distributed Machine Learning Approach for Low-Latency Localization in Cell-Free Massive MIMO Systems
di: Kumar, Manish, et al.
Pubblicazione: (2025)

Towards xAI: Configuring RNN Weights using Domain Knowledge for MIMO Receive Processing
di: Jere, Shashank, et al.
Pubblicazione: (2024)