Open access
2026
EM-ADSNet: Joint Detection and Separation of Aliasing Electromagnetic Signals With an Unknown Number of Sources
EM-ADSNet (Electromagnetic Adaptive Detection-Separation Network), a single-channel deep-learning framework for joint signal-number detection and blind separation that remains robust under varying noise conditions and consistently outperforms state-of-the-art baseline methods.
Jia-Jie Wu, Ben-Zhou Jin, Chang Liu et al.
· IEEE Open Journal of Signal... · 0 citations