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eess.SP2026
Learning Regularization Structure for Biosignal Template Estimation
Yonathan Murin, Alexandre Gramfort
Estimating event-locked templates from bio-signal recordings via regularized least-squares requires choosing both the regularization structure and its magnitude, choices that are t…
cs.IT2026
Multi-User Diversity Scaling in Heavy-Tailed Fading
Yonathan Murin, Ali Özer Ercan, Nariman Farsad
Classical multi-user diversity theory predicts that throughput over Rayleigh fading channels grows as . In this work, we demonstrate a fundamental shift in this s…
eess.SP2026
Adaptive Derivative Estimation via Stein's Unbiased Risk
Yonathan Murin, Ali Ozer Ercan
Estimating derivatives from noisy sampled data is fundamental to control, human--computer interaction, and biomedical engineering. Causal FIR derivative filters offer a natural app…