collaborators

5 papers

eess.SP2026

Comparative Study of ECG Denoising Methods for Wearable Applications

Bamrung Tausiesakul, Anna Marcucci, Amin Damrah +3

Reliable electrocardiogram (ECG) monitoring in wearable and space environments requires effective denoising of signals corrupted by non-stationary electromyogram (EMG) interference…

eess.SP2026

Power Reduction in Heterogeneous Wireless Sensor Networks via Source-Aware Allocation

Mauro Marchese, Pietro Savazzi

Heterogeneous wireless sensor networks (HWSNs) in space and extreme environments must reliably transmit diverse analog physical signals over resource-constrained fading channels, s…

eess.SP2026

From Wireless SNNs to SN P Systems: A Low-Energy Rule-Based Conversion

Pietro Savazzi, Mauro Marchese, Anna Vizziello +1

Distributed wireless spiking neural networks (DWSNNs) are a promising paradigm for energy-efficient edge inference in resource-constrained environments such as wireless sensor netw…

eess.SP2026

Beyond Legacy OFDM: A Mobility-Adaptive Multi-Gear Framework for 6G

Mauro Marchese, Dario Tagliaferri, Henk Wymeersch +3

While Third Generation Partnership Project (3GPP) has confirmed orthogonal frequency division multiplexing (OFDM) as the baseline waveform for sixth-generation (6G), its performanc…

eess.SP2026

Superimposed Cross-Pilots: Addressing Fractional Shifts in DoA-Aided OTFS

Mauro Marchese, Pietro Savazzi

In this work, a novel superimposed pilot scheme, named superimposed cross-pilots, is proposed for fractional parameter estimation in multi-antenna orthogonal time frequency space (…