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Full recovery of ultrafast waveforms lost under noise

The ability to detect ultrafast waveforms arising from randomly occurring events is essential to such diverse fields as bioimaging, spectroscopy, radio-astronomy, sensing and telecommunications. However, noise remains a significant challenge to recover the information carried by such waveforms, whic...

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Autores principales: Crockett, Benjamin, Romero Cortés, Luis, Konatham, Saikrishna Reddy, Azaña, José
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8065104/
https://www.ncbi.nlm.nih.gov/pubmed/33893310
http://dx.doi.org/10.1038/s41467-021-22716-w
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author Crockett, Benjamin
Romero Cortés, Luis
Konatham, Saikrishna Reddy
Azaña, José
author_facet Crockett, Benjamin
Romero Cortés, Luis
Konatham, Saikrishna Reddy
Azaña, José
author_sort Crockett, Benjamin
collection PubMed
description The ability to detect ultrafast waveforms arising from randomly occurring events is essential to such diverse fields as bioimaging, spectroscopy, radio-astronomy, sensing and telecommunications. However, noise remains a significant challenge to recover the information carried by such waveforms, which are often too weak for detection. The key issue is that most of the undesired noise is contained within the broad frequency band of the ultrafast waveform, such that it cannot be alleviated through conventional methods. In spite of intensive research efforts, no technique can retrieve the complete description of a noise-dominated ultrafast waveform of unknown parameters. Here, we propose a signal denoising concept involving passive enhancement of the coherent content of the signal frequency spectrum, which enables the full recovery of arbitrary ultrafast waveforms buried under noise, in a real-time and single-shot fashion. We experimentally demonstrate the retrieval of picosecond-resolution waveforms that are over an order of magnitude weaker than the in-band noise. By granting access to previously undetectable information, this concept shows promise for advancing various fields dealing with weak or noise-dominated broadband waveforms.
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spelling pubmed-80651042021-05-11 Full recovery of ultrafast waveforms lost under noise Crockett, Benjamin Romero Cortés, Luis Konatham, Saikrishna Reddy Azaña, José Nat Commun Article The ability to detect ultrafast waveforms arising from randomly occurring events is essential to such diverse fields as bioimaging, spectroscopy, radio-astronomy, sensing and telecommunications. However, noise remains a significant challenge to recover the information carried by such waveforms, which are often too weak for detection. The key issue is that most of the undesired noise is contained within the broad frequency band of the ultrafast waveform, such that it cannot be alleviated through conventional methods. In spite of intensive research efforts, no technique can retrieve the complete description of a noise-dominated ultrafast waveform of unknown parameters. Here, we propose a signal denoising concept involving passive enhancement of the coherent content of the signal frequency spectrum, which enables the full recovery of arbitrary ultrafast waveforms buried under noise, in a real-time and single-shot fashion. We experimentally demonstrate the retrieval of picosecond-resolution waveforms that are over an order of magnitude weaker than the in-band noise. By granting access to previously undetectable information, this concept shows promise for advancing various fields dealing with weak or noise-dominated broadband waveforms. Nature Publishing Group UK 2021-04-23 /pmc/articles/PMC8065104/ /pubmed/33893310 http://dx.doi.org/10.1038/s41467-021-22716-w Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Crockett, Benjamin
Romero Cortés, Luis
Konatham, Saikrishna Reddy
Azaña, José
Full recovery of ultrafast waveforms lost under noise
title Full recovery of ultrafast waveforms lost under noise
title_full Full recovery of ultrafast waveforms lost under noise
title_fullStr Full recovery of ultrafast waveforms lost under noise
title_full_unstemmed Full recovery of ultrafast waveforms lost under noise
title_short Full recovery of ultrafast waveforms lost under noise
title_sort full recovery of ultrafast waveforms lost under noise
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8065104/
https://www.ncbi.nlm.nih.gov/pubmed/33893310
http://dx.doi.org/10.1038/s41467-021-22716-w
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