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Optimizations for Passive Electric Field Sensing

Passive electric field sensing can be utilized in a wide variety of application areas, although it has certain limitations. In order to better understand what these limitations are and how countervailing measures to these limitations could be implemented, this paper contributes an in-depth discussio...

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Detalles Bibliográficos
Autores principales: von Wilmsdorff, Julian, Kuijper, Arjan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9415647/
https://www.ncbi.nlm.nih.gov/pubmed/36015989
http://dx.doi.org/10.3390/s22166228
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author von Wilmsdorff, Julian
Kuijper, Arjan
author_facet von Wilmsdorff, Julian
Kuijper, Arjan
author_sort von Wilmsdorff, Julian
collection PubMed
description Passive electric field sensing can be utilized in a wide variety of application areas, although it has certain limitations. In order to better understand what these limitations are and how countervailing measures to these limitations could be implemented, this paper contributes an in-depth discussion of problems with passive electric field sensing and how to bypass or solve them. The focus lies on the explanation of how commonly known signal processing techniques and hardware build-up schemes can be used to improve passive electric field sensors and the corresponding data processing.
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spelling pubmed-94156472022-08-27 Optimizations for Passive Electric Field Sensing von Wilmsdorff, Julian Kuijper, Arjan Sensors (Basel) Article Passive electric field sensing can be utilized in a wide variety of application areas, although it has certain limitations. In order to better understand what these limitations are and how countervailing measures to these limitations could be implemented, this paper contributes an in-depth discussion of problems with passive electric field sensing and how to bypass or solve them. The focus lies on the explanation of how commonly known signal processing techniques and hardware build-up schemes can be used to improve passive electric field sensors and the corresponding data processing. MDPI 2022-08-19 /pmc/articles/PMC9415647/ /pubmed/36015989 http://dx.doi.org/10.3390/s22166228 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
von Wilmsdorff, Julian
Kuijper, Arjan
Optimizations for Passive Electric Field Sensing
title Optimizations for Passive Electric Field Sensing
title_full Optimizations for Passive Electric Field Sensing
title_fullStr Optimizations for Passive Electric Field Sensing
title_full_unstemmed Optimizations for Passive Electric Field Sensing
title_short Optimizations for Passive Electric Field Sensing
title_sort optimizations for passive electric field sensing
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9415647/
https://www.ncbi.nlm.nih.gov/pubmed/36015989
http://dx.doi.org/10.3390/s22166228
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