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...

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Main Authors: Robert Vasta, Ian Crandell, Anthony Millican, Leanna House, Eric Smith
Format: Article
Language:English
Published: MDPI AG 2017-10-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/17/10/2329
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author Robert Vasta
Ian Crandell
Anthony Millican
Leanna House
Eric Smith
author_facet Robert Vasta
Ian Crandell
Anthony Millican
Leanna House
Eric Smith
author_sort Robert Vasta
collection DOAJ
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.
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spelling doaj.art-b65b97a3fdaf4206bd3559eacf5fe00b2022-12-22T03:19:00ZengMDPI AGSensors1424-82202017-10-011710232910.3390/s17102329s17102329Outlier Detection for Sensor Systems (ODSS): A MATLAB Macro for Evaluating Microphone Sensor Data QualityRobert Vasta0Ian Crandell1Anthony Millican2Leanna House3Eric Smith4Department of Mathematics, Virginia Tech, Blacksburg, VA 24061, USADepartment of Statistics, Virginia Tech, Blacksburg, VA 24061, USADepartment of Aerospace and Ocean Engineering, Virginia Tech, Blacksburg, VA 24061, USADepartment of Statistics, Virginia Tech, Blacksburg, VA 24061, USADepartment of Statistics, Virginia Tech, Blacksburg, VA 24061, USAMicrophone 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.https://www.mdpi.com/1424-8220/17/10/2329outliersanomaliesacoustic arraysanalytics
spellingShingle Robert Vasta
Ian Crandell
Anthony Millican
Leanna House
Eric Smith
Outlier Detection for Sensor Systems (ODSS): A MATLAB Macro for Evaluating Microphone Sensor Data Quality
Sensors
outliers
anomalies
acoustic arrays
analytics
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 outliers
anomalies
acoustic arrays
analytics
url https://www.mdpi.com/1424-8220/17/10/2329
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AT leannahouse outlierdetectionforsensorsystemsodssamatlabmacroforevaluatingmicrophonesensordataquality
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