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Outlier Detection for Sensor Systems (ODSS): A MATLAB Macro for Evaluating Microphone Sensor Data Quality
Microphone sensor systems provide information that may be used for a variety of applications. Such systems generate large amounts of data. One concern is with microphone failure and unusual values that may be generated as part of the information collection process. This paper describes methods and a...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5677410/ https://www.ncbi.nlm.nih.gov/pubmed/29027911 http://dx.doi.org/10.3390/s17102329 |
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author | Vasta, Robert Crandell, Ian Millican, Anthony House, Leanna Smith, Eric |
author_facet | Vasta, Robert Crandell, Ian Millican, Anthony House, Leanna Smith, Eric |
author_sort | Vasta, Robert |
collection | PubMed |
description | Microphone sensor systems provide information that may be used for a variety of applications. Such systems generate large amounts of data. One concern is with microphone failure and unusual values that may be generated as part of the information collection process. This paper describes methods and a MATLAB graphical interface that provides rapid evaluation of microphone performance and identifies irregularities. The approach and interface are described. An application to a microphone array used in a wind tunnel is used to illustrate the methodology. |
format | Online Article Text |
id | pubmed-5677410 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-56774102017-11-17 Outlier Detection for Sensor Systems (ODSS): A MATLAB Macro for Evaluating Microphone Sensor Data Quality Vasta, Robert Crandell, Ian Millican, Anthony House, Leanna Smith, Eric Sensors (Basel) Article Microphone sensor systems provide information that may be used for a variety of applications. Such systems generate large amounts of data. One concern is with microphone failure and unusual values that may be generated as part of the information collection process. This paper describes methods and a MATLAB graphical interface that provides rapid evaluation of microphone performance and identifies irregularities. The approach and interface are described. An application to a microphone array used in a wind tunnel is used to illustrate the methodology. MDPI 2017-10-13 /pmc/articles/PMC5677410/ /pubmed/29027911 http://dx.doi.org/10.3390/s17102329 Text en © 2017 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Vasta, Robert Crandell, Ian Millican, Anthony House, Leanna Smith, Eric Outlier Detection for Sensor Systems (ODSS): A MATLAB Macro for Evaluating Microphone Sensor Data Quality |
title | Outlier Detection for Sensor Systems (ODSS): A MATLAB Macro for Evaluating Microphone Sensor Data Quality |
title_full | Outlier Detection for Sensor Systems (ODSS): A MATLAB Macro for Evaluating Microphone Sensor Data Quality |
title_fullStr | Outlier Detection for Sensor Systems (ODSS): A MATLAB Macro for Evaluating Microphone Sensor Data Quality |
title_full_unstemmed | Outlier Detection for Sensor Systems (ODSS): A MATLAB Macro for Evaluating Microphone Sensor Data Quality |
title_short | Outlier Detection for Sensor Systems (ODSS): A MATLAB Macro for Evaluating Microphone Sensor Data Quality |
title_sort | outlier detection for sensor systems (odss): a matlab macro for evaluating microphone sensor data quality |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5677410/ https://www.ncbi.nlm.nih.gov/pubmed/29027911 http://dx.doi.org/10.3390/s17102329 |
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