Copertina

Modulation Consistency-based Contrastive Learning for Self-Supervised Automatic Modulation Classification

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Wang, Chenxu, Wang, Shuang, Han, Lirong, Hu, Xinyu, Mo, Hanlin, Xing, Hantong, Jiao, Licheng
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Signal Processing Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

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

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

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

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

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

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

Enhancing Automatic Modulation Recognition through Robust Global Feature Extraction
di: Qu, Yunpeng, et al.
Pubblicazione: (2024)

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

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

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

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

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

ClST: A Convolutional Transformer Framework for Automatic Modulation Recognition by Knowledge Distillation
di: Hou, Dongbin, et al.
Pubblicazione: (2023)

Parameter Estimation based Automatic Modulation Recognition for Radio Frequency Signal
di: Wang, Shuo, et al.
Pubblicazione: (2024)

Augmenting Channel Simulator and Semi- Supervised Learning for Efficient Indoor Positioning
di: Li, Yupeng, et al.
Pubblicazione: (2024)

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

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

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

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

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

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

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

Deep Domain-Adversarial Adaptation for Automatic Modulation Classification under Channel Variability
di: Shahriar, K. A.
Pubblicazione: (2025)

RIS-MAE: A Self-Supervised Modulation Classification Method Based on Raw IQ Signals and Masked Autoencoder
di: Liu, Yunfei, et al.
Pubblicazione: (2025)

Language Bias in Self-Supervised Learning For Automatic Speech Recognition
di: Storey, Edward, et al.
Pubblicazione: (2025)

A Supervised Information Enhanced Multi-Granularity Contrastive Learning Framework for EEG Based Emotion Recognition
di: Li, Xiang, et al.
Pubblicazione: (2024)

Joint Semantic-Channel Coding and Modulation for Token Communications
di: Ying, Jingkai, et al.
Pubblicazione: (2025)

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

Hierarchical Feature Integration for Multi-Signal Automatic Modulation Recognition
di: Qu, Yunpeng, et al.
Pubblicazione: (2025)

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

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

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

Neural Network-based Information-Theoretic Transceivers for High-Order Modulation Schemes
di: Pham, Ngoc Long, et al.
Pubblicazione: (2025)

Class Information Guided Reconstruction for Automatic Modulation Open-Set Recognition
di: Zhang, Ziwei, et al.
Pubblicazione: (2023)

SPEED: Scalable Preprocessing of EEG Data for Self-Supervised Learning
di: Gjølbye, Anders, et al.
Pubblicazione: (2024)

Connecting Joint-Embedding Predictive Architecture with Contrastive Self-supervised Learning
di: Mo, Shentong, et al.
Pubblicazione: (2024)

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

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

Modulate Your Spectrum in Self-Supervised Learning
di: Weng, Xi, et al.
Pubblicazione: (2023)

Edge Learning Based Collaborative Automatic Modulation Classification for Hierarchical Cognitive Radio Networks
di: Dong, Peihao, et al.
Pubblicazione: (2024)