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eess.SP2025
mSQUID: Model-Based Leanred Modulo Recovery at Low Sampling Rates
Yhonatan Kvich, Rotem Arie, Hana Hasan +2
Modulo sampling enables acquisition of signals with unlimited dynamic range by folding the input into a bounded interval prior to sampling, thus eliminating the risk of signal clip…
eess.SP2025
Plug-and-Play Latent Diffusion for Electromagnetic Inverse Scattering with Application to Brain Imaging
Rui Guo, Yi Zhang, Yhonatan Kvich +3
Electromagnetic (EM) imaging is an important tool for non-invasive sensing with low-cost and portable devices. One emerging application is EM stroke imaging, which enables early di…
eess.SP2025
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…