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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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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. |
format | Online Article Text |
id | pubmed-8065104 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
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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