Few-Shot Specific Emitter Identification via Integrated Complex Variational Mode Decomposition and Spatial Attention Transfer

arXiv:2512.16786 · eess.SP, cs.LG · Submitted 2025-12-18 · Read on arXiv

eess.SP, cs.LG

Submitted: 2025-12-18

Updated: 2026-09-24

Terminology

• Accuracy — 41× in this paper · explained in 1 episode
• Meta-learning — 9× in this paper · explained in 2 episodes
• Feature Extraction — 7× in this paper · explained in 2 episodes
• Fingerprinting — 7× in this paper · explained in 2 episodes
• Transfer Learning — 7× in this paper · explained in 10 episodes
• Ablation — 6× in this paper · explained in 1 episode
• Attention Mechanism — 6× in this paper · explained in 2 episodes
• Robustness — 4× in this paper · explained in 5 episodes
• Core — 3× in this paper · explained in 2 episodes
• Data Augmentation — 3× in this paper · explained in 7 episodes
• Generalization — 3× in this paper · explained in 13 episodes
• Adaptation — 2× in this paper · explained in 1 episode
• Consistency — 2× in this paper · explained in 3 episodes
• Fine-Tuning — 2× in this paper · explained in 5 episodes
• Model-Agnostic — 2× in this paper · explained in 2 episodes
• Regularization — 2× in this paper · explained in 3 episodes
• Transformer — 2× in this paper · explained in 2 episodes
• Adam — 1× in this paper · explained in 2 episodes
• Adaptability — 1× in this paper · explained in 1 episode
• Aggregation — 1× in this paper · explained in 1 episode
• Benchmark — 1× in this paper · explained in 2 episodes
• Bispectrum — 1× in this paper · explained in 3 episodes
• Clustering — 1× in this paper · explained in 2 episodes
• Contrastive Learning — 1× in this paper · explained in 5 episodes
• Cooperation — 1× in this paper · explained in 2 episodes
• Decentralized Learning — 1× in this paper · explained in 2 episodes
• Domain Adaptation — 1× in this paper · explained in 5 episodes
• Ensemble Learning — 1× in this paper · explained in 2 episodes
• Feature Engineering — 1× in this paper · explained in 3 episodes
• Feature Selection — 1× in this paper · explained in 4 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• Information Leakage — 1× in this paper · explained in 2 episodes
• Self-Supervised Learning — 1× in this paper · explained in 7 episodes
• Signal-to-noise ratio (SNR) — 1× in this paper · explained in 2 episodes
• Temporal Correlations — 1× in this paper · explained in 2 episodes
• Transferability — 1× in this paper · explained in 4 episodes
• Verification — 1× in this paper · explained in 2 episodes
• Wavelet Transform — 1× in this paper · explained in 2 episodes

Sources

• Comparative Study of CNN and RNN for Natural Language Processing
• An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling
• Multi-Scale Context Aggregation by Dilated Convolutions

Related papers

• Runtime Assurance Under Measurement Attack: Necessary and Sufficient Observability Conditions for Learned Control in Radio Access Networks
• Physics-Constrained Deep Learning Model for Contactless Blood Pressure Monitoring from Triaxial Bodyseismography
• Uncertainty Quantification in Machine Learning for Biosignal Applications -- A Review
• Continuous Orthogonal Mode Decomposition: Haptic Signal Prediction in Tactile Internet
• Generative Models for Modeling and Synthesizing MIMO Channels in Adverse Weather Conditions
• Deep-Learning-Based Pixelated Microwave Filter Design and Characterization using Electro-Optical Electric-Field Measurements