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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Format: | Article |
Language: | English |
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MDPI AG
2017-10-01
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Series: | Sensors |
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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. |
first_indexed | 2024-04-12T19:44:33Z |
format | Article |
id | doaj.art-b65b97a3fdaf4206bd3559eacf5fe00b |
institution | Directory Open Access Journal |
issn | 1424-8220 |
language | English |
last_indexed | 2024-04-12T19:44:33Z |
publishDate | 2017-10-01 |
publisher | MDPI AG |
record_format | Article |
series | Sensors |
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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