The surprising benefits of hysteresis in unlimited sampling: Theory, algorithms and experiments

D Florescu, F Krahmer… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The Unlimited Sensing Framework (USF) was recently introduced to overcome the sensor
saturation bottleneck in conventional digital acquisition systems. At its core, the USF …

Unlimited sampling beyond modulo

E Azar, S Mulleti, YC Eldar - Applied and Computational Harmonic Analysis, 2025 - Elsevier
Analog-to-digital converters (ADCs) act as a bridge between the analog and digital domains.
Two important attributes of any ADC are sampling rate and its dynamic range. For …

Unlimited sampling with local averages

D Florescu, A Bhandari - ICASSP 2022-2022 IEEE International …, 2022 - ieeexplore.ieee.org
Signal saturation or clip** is a fundamental bottleneck that limits the capability of analog-
to-digital converters (ADCs). The problem arises when the input signal dynamic range is …

Modulo sampling of FRI signals

S Mulleti, YC Eldar - IEEE Access, 2024 - ieeexplore.ieee.org
An analog-to-digital converter (ADC)'s dynamic range is critical during sampling analog
signals. A modulo operation prior to sampling can be used to enhance the effective dynamic …

Unlimited sampling with sparse outliers: Experiments with impulsive and jump or reset noise

A Bhandari - ICASSP 2022-2022 IEEE International Conference …, 2022 - ieeexplore.ieee.org
Unlimited Sensing is a sampling protocol that recovers high dynamic range input signals
from their low dynamic range, modulo samples. Bridging the gap between theory and …

Line spectral estimation via unlimited sampling

Q Zhang, J Zhu, F Qu - IEEE Transactions on Aerospace and …, 2024 - ieeexplore.ieee.org
Frequency Modulated Continuous Wave (FMCW) radar has been widely applied in
automotive anti-collision systems, automatic cruise control, and indoor monitoring. However …

Learning with semi-definite programming: statistical bounds based on fixed point analysis and excess risk curvature

S Chrétien, M Cucuringu, G Lecué, L Neirac - Journal of Machine Learning …, 2021 - jmlr.org
Many statistical learning problems have recently been shown to be amenable to Semi-
Definite Programming (SDP), with community detection and clustering in Gaussian mixture …

Denoising modulo samples: k-NN regression and tightness of SDP relaxation

M Fanuel, H Tyagi - Information and Inference: A Journal of the …, 2022 - academic.oup.com
Many modern applications involve the acquisition of noisy modulo samples of a function,
with the goal being to recover estimates of the original samples of. For a Lipschitz function …

Unlimited sampling with hysteresis

D Florescu, F Krahmer… - 2021 55th Asilomar …, 2021 - ieeexplore.ieee.org
The Unlimited Sensing Framework (USF) addresses the problem of sensor saturation in
analog-to-digital converters. In essence, the USF maps high-dynamic-range (HDR) signals …

Unlimited sampling in phase space

P Zhang, A Bhandari - ICASSP 2023-2023 IEEE International …, 2023 - ieeexplore.ieee.org
The Unlimited Sampling Framework (USF) is an alternative sampling and reconstruction
protocol that allows for recovery of signals that are arbitrarily larger than the dynamic range …