10 papers
Comparative Study of ECG Denoising Methods for Wearable Applications
Bamrung Tausiesakul, Anna Marcucci, Amin Damrah +3
The paper compares model-based (EMD variants and DWT) and deep learning (SDAE and PINN) methods for denoising upper-arm ECG signals affected by EMG interference in wearable and spa…
Power Reduction in Heterogeneous Wireless Sensor Networks via Source-Aware Allocation
Mauro Marchese, Pietro Savazzi
The paper derives a minimum SNR bound for reconstructing analog signals in heterogeneous wireless sensor networks using the Rényi information dimension, and proposes a cross‑layer…
From Wireless SNNs to SN P Systems: A Low-Energy Rule-Based Conversion
Pietro Savazzi, Mauro Marchese, Anna Vizziello +1
The paper presents a method to transform trained distributed wireless spiking neural networks into rule‑based Spiking Neural P (SN P) systems, yielding interpretable, human‑readabl…
Exploiting Structural Sparsity and Delay-Doppler Decoupling for Low-Complexity OTFS-ISAC Receivers
Mauro Marchese, Musa Furkan Keskin, Pietro Savazzi +1
In this work, the problems of channel estimation, radar sensing, and data detection are addressed for monostatic integrated sensing and communications (ISAC) applications within or…
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 (…
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…