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dc.contributor.authorEndress, William
dc.date.accessioned2015-11-05T16:25:11Zen
dc.date.available2015-11-05T16:25:11Zen
dc.date.issued2012-10en
dc.identifier.issn0884-5123en
dc.identifier.issn0074-9079en
dc.identifier.urihttp://hdl.handle.net/10150/581824en
dc.descriptionITC/USA 2012 Conference Proceedings / The Forty-Eighth Annual International Telemetering Conference and Technical Exhibition / October 22-25, 2012 / Town and Country Resort & Convention Center, San Diego, Californiaen_US
dc.description.abstractMerging telemetry data from multiple data sources into a single file, provides the ability to fill in gaps in the data and reduce noise by taking advantage of the multiple sources. This is desirable when analyzing the data as there is only one file to work from. Also, the analysts will spend less time trying to explain away gaps and spikes in data that are attributable to dropped and noisy telemetry frames, leading to more accurate reports. This paper discusses the issues and solutions for doing the merge.
dc.description.sponsorshipInternational Foundation for Telemeteringen
dc.language.isoen_USen
dc.publisherInternational Foundation for Telemeteringen
dc.relation.urlhttp://www.telemetry.org/en
dc.rightsCopyright © held by the author; distribution rights International Foundation for Telemeteringen_US
dc.titleMerging Multiple Telemetry Files from Widely Separated Sources for Improved Data Integrityen_US
dc.typetexten
dc.typeProceedingsen
dc.contributor.departmentRaytheon Missile Systemsen
dc.identifier.journalInternational Telemetering Conference Proceedingsen
dc.description.collectioninformationProceedings from the International Telemetering Conference are made available by the International Foundation for Telemetering and the University of Arizona Libraries. Visit http://www.telemetry.org/index.php/contact-us if you have questions about items in this collection.en_US
refterms.dateFOA2018-06-05T21:45:32Z
html.description.abstractMerging telemetry data from multiple data sources into a single file, provides the ability to fill in gaps in the data and reduce noise by taking advantage of the multiple sources. This is desirable when analyzing the data as there is only one file to work from. Also, the analysts will spend less time trying to explain away gaps and spikes in data that are attributable to dropped and noisy telemetry frames, leading to more accurate reports. This paper discusses the issues and solutions for doing the merge.


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