@inproceedings{9238f845c6264a65bd2a0c68e25676f6,
title = "Multichannel Modulo Sampling with Unlimited Noise",
abstract = "Signal saturation represents a characteristic of practical analog-to-digital converters (ADCs) that leads to clipping and information loss. To prevent this, the signal can be {"}folded{"} at a given threshold using a modulo nonlinearity to match the ADC's dynamic range. Existing recovery guarantees for single and multichannel modulo architectures require that the noise is significantly smaller than the modulo threshold. In this work, we introduce a new multichannel modulo architecture for improving noise robustness which has one single folding mechanism for all channels. We show that, by folding all channels at the same time, the modulo discontinuities are detectable under noise of arbitrary magnitude for the appropriate number of channels. We provide a noise independent sampling rate guarantee. Numerical studies validate the proposed method and show accurate input recovery for a wide range of SNRs including negative values.",
keywords = "Analog-to-digital conversion (ADC), modulo samples, multichannel sampling, sampling theory",
author = "Dorian Florescu",
year = "2025",
month = mar,
day = "7",
doi = "10.1109/ICASSP49660.2025.10888122",
language = "English",
series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
publisher = "IEEE",
editor = "Rao, {Bhaskar D} and Isabel Trancoso and Gaurav Sharma and Mehta, {Neelesh B.}",
booktitle = "2025 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2025 - Proceedings",
address = "USA United States",
note = "2025 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2025 ; Conference date: 06-04-2025 Through 11-04-2025",
}