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eess.SP2026
Sub-6 GHz Over-the-Air AMC via Curriculum Fine-Tuned CNN-Transformers
Nurettin Safak, Muhammet Sefa Demirel, Alperen Marasli +3
Automatic modulation classification (AMC) models are frequently trained and validated on synthetic or channel-cabled data, leaving open the question of how they behave once path lo…
eess.SP2026
An Uncertainty-Driven Hybrid Deep Learning Approach for Broad-Coverage RF Modulation Recognition
Nurettin Safak, Durdu Can Yerdeyatar, Muhammet Sefa Demirel +3
Automatic RF modulation recognition is of critical importance in spectrum monitoring, electronic warfare, and cognitive radio applications, where low signal-to-noise ratio (SNR) co…
eess.SP2024
Compressive Sensing Imaging Using Caustic Lens Mask Generated by Periodic Perturbation in a Ripple Tank
Doğan Tunca Arık, Asaf Behzat Şahin, Özgün Ersoy
Terahertz imaging shows significant potential across diverse fields, yet the cost-effectiveness of multi-pixel imaging equipment remains an obstacle for many researchers. To tackle…