TimesSeriesStreaming.VI: LabVIEW program for reliable data streaming of large analog time series

Fabian Czerwinski; Lene Broeng Oddershede

doi:10.1016/j.cpc.2010.10.019

TimesSeriesStreaming.VI: LabVIEW program for reliable data streaming of large analog time series

Fabian Czerwinski, Lene Broeng Oddershede

Biocomplexity

6 Citations (Scopus)

Abstract

With modern data acquisition devices that work fast and very precise, scientists often face the task of dealing with huge amounts of data. These need to be rapidly processed and stored onto a hard disk. We present a LabVIEW program which reliably streams analog time series of MHz sampling. Its run time has virtually no limitation. We explicitly show how to use the program to extract time series from two experiments: For a photodiode detection system that tracks the position of an optically trapped particle and for a measurement of ionic current through a glass capillary. The program is easy to use and versatile as the input can be any type of analog signal. Also, the data streaming software is simple, highly reliable, and can be easily customized to include, e.g., real-time power spectral analysis and Allan variance noise quantification.

Original language	English
Journal	Computer Physics Communications
Volume	182
Issue number	2
Pages (from-to)	485-489
Number of pages	4
ISSN	0010-4655
DOIs	https://doi.org/10.1016/j.cpc.2010.10.019
Publication status	Published - 1 Feb 2011

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10.1016/j.cpc.2010.10.019

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title = "TimesSeriesStreaming.VI: LabVIEW program for reliable data streaming of large analog time series",

abstract = "With modern data acquisition devices that work fast and very precise, scientists often face the task of dealing with huge amounts of data. These need to be rapidly processed and stored onto a hard disk. We present a LabVIEW program which reliably streams analog time series of MHz sampling. Its run time has virtually no limitation. We explicitly show how to use the program to extract time series from two experiments: For a photodiode detection system that tracks the position of an optically trapped particle and for a measurement of ionic current through a glass capillary. The program is easy to use and versatile as the input can be any type of analog signal. Also, the data streaming software is simple, highly reliable, and can be easily customized to include, e.g., real-time power spectral analysis and Allan variance noise quantification.",

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AU - Czerwinski, Fabian

AU - Oddershede, Lene Broeng

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Y1 - 2011/2/1

N2 - With modern data acquisition devices that work fast and very precise, scientists often face the task of dealing with huge amounts of data. These need to be rapidly processed and stored onto a hard disk. We present a LabVIEW program which reliably streams analog time series of MHz sampling. Its run time has virtually no limitation. We explicitly show how to use the program to extract time series from two experiments: For a photodiode detection system that tracks the position of an optically trapped particle and for a measurement of ionic current through a glass capillary. The program is easy to use and versatile as the input can be any type of analog signal. Also, the data streaming software is simple, highly reliable, and can be easily customized to include, e.g., real-time power spectral analysis and Allan variance noise quantification.

AB - With modern data acquisition devices that work fast and very precise, scientists often face the task of dealing with huge amounts of data. These need to be rapidly processed and stored onto a hard disk. We present a LabVIEW program which reliably streams analog time series of MHz sampling. Its run time has virtually no limitation. We explicitly show how to use the program to extract time series from two experiments: For a photodiode detection system that tracks the position of an optically trapped particle and for a measurement of ionic current through a glass capillary. The program is easy to use and versatile as the input can be any type of analog signal. Also, the data streaming software is simple, highly reliable, and can be easily customized to include, e.g., real-time power spectral analysis and Allan variance noise quantification.

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TimesSeriesStreaming.VI: LabVIEW program for reliable data streaming of large analog time series

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