Imagen de Portada

Deep Domain-Adversarial Adaptation for Automatic Modulation Classification under Channel Variability

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autor principal:	Shahriar, K. A.
Formato:	Preprint
Publicado:	2025
Materias:	Signal Processing
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Adapt under Attack and Domain Shift: Unified Adversarial Meta-Learning and Domain Adaptation for Robust Automatic Modulation Classification
por: Owfi, Ali, et al.
Publicado: (2025)

Explainable Deep Learning Based Adversarial Defense for Automatic Modulation Classification
por: Dong, Peihao, et al.
Publicado: (2025)

DL-AMC: Deep Learning for Automatic Modulation Classification
por: Rehman, Faheem Ur, et al.
Publicado: (2025)

MATLAB-Simulated Dataset for Automatic Modulation Classification in Wireless Fading Channels
por: Shafi, M. M. Sadman, et al.
Publicado: (2025)

Conformal Shield: A Novel Adversarial Attack Detection Framework for Automatic Modulation Classification
por: Wen, Tailai, et al.
Publicado: (2024)

Channel-Aware Multi-Domain Feature Extraction for Automatic Modulation Recognition in MIMO Systems
por: Qu, Yunpeng, et al.
Publicado: (2025)

An Uncertainty Quantification Framework for Deep Learning-Based Automatic Modulation Classification
por: Yang, Huian, et al.
Publicado: (2025)

Information Importance-Aware Defense against Adversarial Attack for Automatic Modulation Classification:An XAI-Based Approach
por: Wang, Jingchun, et al.
Publicado: (2024)

FSOS-AMC: Few-Shot Open-Set Learning for Automatic Modulation Classification Over Multipath Fading Channels
por: Zhang, Hao, et al.
Publicado: (2024)

Physics-augmented Deep Learning with Adversarial Domain Adaptation: Applications to STM Image Denoising
por: Xie, Jianxin, et al.
Publicado: (2024)

Automatic Radio Map Adaptation for Robust Localization with Dynamic Adversarial Learning
por: Zhang, Lingyan, et al.
Publicado: (2024)

Joint Signal Detection and Automatic Modulation Classification via Deep Learning
por: Xing, Huijun, et al.
Publicado: (2024)

Automatic Modulation Classification via Green Machine Learning
por: Yu, Chee-An, et al.
Publicado: (2026)

Automatic Modulation Classification using a Waveform Signature
por: Clark IV, William H., et al.
Publicado: (2024)

Domain Adaptation for DoA Estimation in Multipath Channels with Interferences
por: Bar, Amitay, et al.
Publicado: (2024)

G-AMC: A Green Automatic Modulation Classification Method
por: Yu, Chee-An, et al.
Publicado: (2026)

Transfer Learning Guided Noise Reduction for Automatic Modulation Classification
por: Ji, Zelin, et al.
Publicado: (2024)

Deep-Learning-Based Classification of Digitally Modulated Signals
por: Snoap, John A.
Publicado: (2025)

Edge-Efficient Deep Learning Models for Automatic Modulation Classification: A Performance Analysis
por: Baishya, Nayan Moni, et al.
Publicado: (2024)

A Light Weight Neural Network for Automatic Modulation Classification in OFDM Systems
por: Nanayakkara, Indiwara, et al.
Publicado: (2025)

Comparative Analysis of Attention Mechanisms for Automatic Modulation Classification in Radio Frequency Signals
por: Catak, Ferhat Ozgur, et al.
Publicado: (2025)

MAMCA -- Optimal on Accuracy and Efficiency for Automatic Modulation Classification with Extended Signal Length
por: Zhang, Yezhuo, et al.
Publicado: (2024)

KGAMC: A Novel Knowledge Graph Driven Automatic Modulation Classification Scheme
por: Li, Yike, et al.
Publicado: (2024)

Ultralight Signal Classification Model for Automatic Modulation Recognition
por: Oquendo, Alessandro Daniele Genuardi, et al.
Publicado: (2024)

BEACON: Benefit-Aware Early-Exit for Automatic Modulation Classification via Recoverability Prediction
por: Liu, Zheng, et al.
Publicado: (2026)

Modulation Consistency-based Contrastive Learning for Self-Supervised Automatic Modulation Classification
por: Wang, Chenxu, et al.
Publicado: (2026)

Multi-Snapshot Deep Denoising for Channel Estimation in OTFS Modulated Systems
por: Gehlot, Surbhi, et al.
Publicado: (2026)

Generalizable Learning for Frequency-Domain Channel Extrapolation under Distribution Shift
por: Wang, Haoyu, et al.
Publicado: (2025)

Parametric Channel Estimation and Design for Active-RIS-Assisted Communications
por: Sadid, Md. Shahriar, et al.
Publicado: (2025)

SPaRSe-TIME: Saliency-Projected Low-Rank Temporal Modeling for Efficient and Interpretable Time Series Prediction
por: Shahriar, K. A.
Publicado: (2026)

Federated Learning with Dual Attention for Robust Modulation Classification under Attacks
por: Zhang, Han, et al.
Publicado: (2024)

Deep Joint Source Channel Coding With Attention Modules Over MIMO Channels
por: Jiang, Weiran, et al.
Publicado: (2023)

STF-GCN: A Multi-Domain Graph Convolution Network Method for Automatic Modulation Recognition via Adaptive Correlation
por: Shao, Mingyuan, et al.
Publicado: (2025)

Domain Adaptation-Enabled Realistic Map-Based Channel Estimation for MIMO-OFDM
por: Hoang, Thien Hieu, et al.
Publicado: (2025)

ALWNN Empowered Automatic Modulation Classification: Conquering Complexity and Scarce Sample Conditions
por: Quan, Yunhao, et al.
Publicado: (2025)

Exploiting Semantic Localization in Highly Dynamic Wireless Networks Using Deep Homoscedastic Domain Adaptation
por: Chu, Lei, et al.
Publicado: (2023)

Distributed Deep Learning for Modulation Classification in 6G Cell-Free Wireless Networks
por: Verbruggen, Dieter, et al.
Publicado: (2024)

Federated Self-Supervised Learning for Automatic Modulation Classification under Non-IID and Class-Imbalanced Data
por: Akram, Usman, et al.
Publicado: (2025)

Why Nonlinear Models Matter: Unified Analysis of Cognitive Load, Stress, and Exercise Using Wearable Physiological Signals
por: Shahriar, Khondakar Ashik
Publicado: (2025)

Golden Ratio Search: A Low-Power Adversarial Attack for Deep Learning based Modulation Classification
por: Sadhukhan, Deepsayan, et al.
Publicado: (2024)