1 citations · 2 across the 7 of their papers we have counts for
7 papers
Deep Task-Based Beamforming and Channel Data Augmentations for Enhanced Ultrasound Imaging
Ariel Amar, Ahuva Grubstein, Eli Atar +5
This paper introduces a deep learning (DL)-based framework for task-based ultrasound (US) beamforming, aiming to enhance clinical outcomes by integrating specific clinical tasks di…
Practical Modulo Sampling: Mitigating High-Frequency Components
Yhonatan Kvich, Shlomi Savariego, Moshe Namer +1
Recovering signals within limited dynamic range (DR) constraints remains a central challenge for analog-to-digital converters (ADCs). To prevent data loss, an ADCs DR typically mus…
Robust Phantom-Assisted Framework for Multi-Person Localization and Vital Signs Monitoring Using MIMO FMCW Radar
Yonathan Eder, Emma Zagoury, Shlomi Savariego +3
With the rising prevalence of cardiovascular and respiratory disorders and an aging global population, healthcare systems face increasing pressure to adopt efficient, non-contact v…
ECG-TEM: Time-based sub-Nyquist sampling for ECG signal reconstruction and Hardware Prototype
Hila Naaman, Daniel Bilik, Shlomi Savariego +2
Portable heart rate monitoring (HRM) systems based on electrocardiograms (ECGs) have become increasingly crucial for preventing lifestyle diseases. For such portable systems, minim…
A Hardware Prototype of Wideband High-Dynamic Range ADC
Satish Mulleti, Eliya Reznitskiy, Shlomi Savariego +3
Key parameters of analog-to-digital converters (ADCs) are their sampling rate and dynamic range. Power consumption and cost of an ADC are directly proportional to the sampling rate…
Hardware Implementation of Task-based Quantization in Multi-user Signal Recovery
Xing Zhang, Haiyang Zhang, Nimrod Glazer +5
Quantization plays a critical role in digital signal processing systems, allowing the representation of continuous amplitude signals with a finite number of bits. However, accurate…