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Sensors 2017, 17(10), 2329; doi:10.3390/s17102329

Outlier Detection for Sensor Systems (ODSS): A MATLAB Macro for Evaluating Microphone Sensor Data Quality

1
Department of Mathematics, Virginia Tech, Blacksburg, VA 24061, USA
2
Department of Statistics, Virginia Tech, Blacksburg, VA 24061, USA
3
Department of Aerospace and Ocean Engineering, Virginia Tech, Blacksburg, VA 24061, USA
*
Author to whom correspondence should be addressed.
Received: 28 August 2017 / Revised: 29 September 2017 / Accepted: 10 October 2017 / Published: 13 October 2017
(This article belongs to the Special Issue Innovative Smart Sensors for Control Systems)
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Abstract

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. View Full-Text
Keywords: outliers; anomalies; acoustic arrays; analytics outliers; anomalies; acoustic arrays; analytics
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Supplementary material

  • Externally hosted supplementary file 1
    Link: http://apps.stat.vt.edu
    Description: MATLAB macro ODSS for outlier detection

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MDPI and ACS Style

Vasta, R.; Crandell, I.; Millican, A.; House, L.; Smith, E. Outlier Detection for Sensor Systems (ODSS): A MATLAB Macro for Evaluating Microphone Sensor Data Quality. Sensors 2017, 17, 2329.

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