Multichannel Modulo Sampling with Unlimited Noise

Research output: Chapter or section in a book/report/conference proceedingChapter in a published conference proceeding

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.

Original languageEnglish
Title of host publication2025 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2025 - Proceedings
EditorsBhaskar D Rao, Isabel Trancoso, Gaurav Sharma, Neelesh B. Mehta
Place of PublicationU. S. A.
PublisherIEEE
Number of pages5
ISBN (Electronic)9798350368741
DOIs
Publication statusPublished - 7 Mar 2025
Event2025 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2025 - Hyderabad, India
Duration: 6 Apr 202511 Apr 2025

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN (Print)1520-6149

Conference

Conference2025 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2025
Country/TerritoryIndia
CityHyderabad
Period6/04/2511/04/25

Keywords

  • Analog-to-digital conversion (ADC)
  • modulo samples
  • multichannel sampling
  • sampling theory

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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