Image de couverture de livre

Deep Learning Modeling Method for RF Devices Based on Uniform Noise Training Set

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Hu, Zhaokun, Xiao, Yindong, Wang, Houjun, Yu, Jiayong, Gao, Zihang
Format:	Preprint
Publié:	2024
Sujets:	Signal Processing Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Ultra Low Complexity Deep Learning Based Noise Suppression
par: Shetu, Shrishti Saha, et autres
Publié: (2023)

AI for Equitable Tennis Training: Leveraging AI for Equitable and Accurate Classification of Tennis Skill Levels and Training Phases
par: Gao, Gyanna, et autres
Publié: (2024)

CrossRF: A Domain-Invariant Deep Learning Approach for RF Fingerprinting
par: Tiras, Fahrettin Emin, et autres
Publié: (2025)

Enhancing Off-Grid One-Bit DOA Estimation with Learning-Based Sparse Bayesian Approach for Non-Uniform Sparse Array
par: Hu, Yunqiao, et autres
Publié: (2024)

Alpha-RF: Automated RF-Filter-Circuit Design with Neural Simulator and Reinforcement Learning
par: Tran, Nhat, et autres
Publié: (2026)

ECG-CL: A Comprehensive Electrocardiogram Interpretation Method Based on Continual Learning
par: Gao, Hongxiang, et autres
Publié: (2023)

Modeling of Core Loss Based on Machine Learning and Deep Learning
par: He, Junqi, et autres
Publié: (2025)

Sim2Real in Reconstructive Spectroscopy: Deep Learning with Augmented Device-Informed Data Simulation
par: Chen, Jiyi, et autres
Publié: (2024)

Deep-Learning-Based Channel Estimation for IRS-Assisted ISAC System
par: Liu, Yu, et autres
Publié: (2024)

Unsupervised Contrastive Learning for Robust RF Device Fingerprinting Under Time-Domain Shift
par: Chen, Jun, et autres
Publié: (2024)

Deep Learning-Based Channel Extrapolation for Dual-Band Massive MIMO Systems
par: Xiao, Qikai, et autres
Publié: (2026)

An Adversarial-Driven Experimental Study on Deep Learning for RF Fingerprinting
par: Cao, Xinyu, et autres
Publié: (2025)

Improve the Fitting Accuracy of Deep Learning for the Nonlinear Schrödinger Equation Using Linear Feature Decoupling Method
par: Zhang, Yunfan, et autres
Publié: (2024)

RF-GPT: Teaching AI to See the Wireless World
par: Zou, Hang, et autres
Publié: (2026)

Learning to Separate RF Signals Under Uncertainty: Detect-Then-Separate vs. Unified Joint Models
par: Rodrigez, Ariel, et autres
Publié: (2026)

On-Device Training of PV Power Forecasting Models in a Smart Meter for Grid Edge Intelligence
par: Huang, Jian, et autres
Publié: (2025)

Transparency in Sleep Staging: Deep Learning Method for EEG Sleep Stage Classification with Model Interpretability
par: Sharma, Shivam, et autres
Publié: (2023)

A Benchmark Study of Deep Learning Methods for Multi-Label Pediatric Electrocardiogram-Based Cardiovascular Disease Classification
par: Chen, Yiqiao
Publié: (2025)

Deep-Relative-Trust-Based Diffusion for Decentralized Deep Learning
par: Li, Muyun, et autres
Publié: (2025)

Unmixing Noise from Hawkes Process to Model Learned Physiological Events
par: Staerman, Guillaume, et autres
Publié: (2024)

Deep Learning Based Sphere Decoding
par: Mohammadkarimi, Mostafa, et autres
Publié: (2018)

MOTIF-RF: Multi-template On-chip Transformer Synthesis Incorporating Frequency-domain Self-transfer Learning for RFIC Design Automation
par: He, Houbo, et autres
Publié: (2025)

Graph-CNNs for RF Imaging: Learning the Electric Field Integral Equations
par: Stylianopoulos, Kyriakos, et autres
Publié: (2025)

Unsupervised Adaptive Deep Learning Method For BCI Motor Imagery Decoding
par: Ouahidi, Yassine El, et autres
Publié: (2024)

Mixing Signals: Data Augmentation Approach for Deep Learning Based Modulation Recognition
par: Xu, Xinjie, et autres
Publié: (2022)

Sim2Real Deep Transfer for Per-Device CFO Calibration
par: Zheng, Jingze, et autres
Publié: (2026)

An Efficient and Flexible Deep Learning Method for Signal Delineation via Keypoints Estimation
par: Atienza, Adrian, et autres
Publié: (2024)

SubspaceNet: Deep Learning-Aided Subspace Methods for DoA Estimation
par: Shmuel, Dor H., et autres
Publié: (2023)

Cross-Subject Generalization for EEG Decoding: A Survey of Deep Learning Methods
par: Li, Taida, et autres
Publié: (2026)

Graph Laplacian Learning with Exponential Family Noise
par: Shi, Changhao, et autres
Publié: (2023)

Truncated Polynomial Expansion-Based Detection in Massive MIMO: A Model-Driven Deep Learning Approach
par: Izadinasab, Kazem, et autres
Publié: (2024)

Hydroelectric Generation Forecasting with Long Short Term Memory (LSTM) Based Deep Learning Model for Turkey
par: Bulut, Mehmet
Publié: (2021)

Deep Learning Models for Physical Layer Communications
par: Letizia, Nunzio A.
Publié: (2025)

Decentralized Federated Learning With Energy Harvesting Devices
par: Zhang, Kai, et autres
Publié: (2026)

Deep-Learning Channel Estimation for IRS-Assisted Integrated Sensing and Communication System
par: Liu, Yu, et autres
Publié: (2024)

Benchmarking and Enhancing PPG-Based Cuffless Blood Pressure Estimation Methods
par: Mathew, Neville, et autres
Publié: (2026)

A Weight-aware-based Multi-source Unsupervised Domain Adaptation Method for Human Motion Intention Recognition
par: Liu, Xiao-Yin, et autres
Publié: (2024)

Removing Structured Noise with Diffusion Models
par: Stevens, Tristan S. W., et autres
Publié: (2023)

Federated Learning With Energy Harvesting Devices: An MDP Framework
par: Zhang, Kai, et autres
Publié: (2024)

Enhancing AI-Based ECG Delineation with Deep Learning Denoising Techniques
par: Breeding-Allison, Jeff, et autres
Publié: (2026)