The Surprising Benefits of Hysteresis in Unlimited Sampling: Theory, Algorithms and Experiments

@article{Florescu2022TheSB,
  title={The Surprising Benefits of Hysteresis in Unlimited Sampling: Theory, Algorithms and Experiments},
  author={Dorian Florescu and Felix Krahmer and Ayush Bhandari},
  journal={IEEE Transactions on Signal Processing},
  year={2022},
  volume={70},
  pages={616-630}
}
The Unlimited Sensing Framework (USF) was recently introduced to overcome the sensor saturation bottleneck in conventional digital acquisition systems. At its core, the USF converts a continuous-time high-dynamic-range (HDR) signal into folded, low-dynamic-range, modulo samples and allows the recovery of the HDR signal via algorithmic unfolding. In hardware, however, implementing ideal modulo folding requires careful calibration, analog design and high precision. At the interface of theory and… 
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