9 papers
SpiRadar: Radar-Based Non-Contact Spirometry via Sparse Polynomial Framework
Yonathan Eder, Yhonatan Kvich, Naama Golan +6
Chronic respiratory diseases affect hundreds of millions of people worldwide, with spirometry serving as the gold standard for pulmonary function assessment. However, conventional…
Lattice Modulo Sampling
Yhonatan Kvich, Yonina C. Eldar
We propose a lattice-theoretic framework for modulo sampling of multidimensional bandlimited signals. Standard modulo analog-to-digital converters (ADCs) fold the signal component-…
Physics Informed Deep Unfolded Full Waveform Inversion for Edema Detection
Ruizhi Zhang, Yhonatan Kvich, Rui Guo +2
Edema is a potential indicator of underlying pathological changes. However, its low-contrast signature is often masked in conventional B-mode imaging by strong scatterers, making r…
Compressed BC-LISTA via Low-Rank Convolutional Decomposition
Han Wang, Yhonatan Kvich, Eduardo Pérez +2
We study Sparse Signal Recovery (SSR) methods for multichannel imaging with compressed {forward and backward} operators that preserve reconstruction accuracy. We propose a Compress…
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…
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…
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…
Modulo Sampling in Shift-Invariant Spaces: Recovery and Stability Enhancement
Yhonatan Kvich, Yonina C. Eldar
Sampling shift-invariant (SI) signals with a high dynamic range poses a notable challenge in the domain of analog-to-digital conversion (ADC). It is essential for the ADC's dynamic…
Efficient Convolutional Forward Modeling and Sparse Coding in Multichannel Imaging
Han Wang, Yhonatan Kvich, Eduardo Pérez +2
This study considers the Block-Toeplitz structural properties inherent in traditional multichannel forward model matrices, using Full Matrix Capture (FMC) in ultrasonic testing as…