Persistent Link:
http://hdl.handle.net/10150/581824
Title:
Merging Multiple Telemetry Files from Widely Separated Sources for Improved Data Integrity
Author:
Endress, William
Affiliation:
Raytheon Missile Systems
Issue Date:
2012-10
Rights:
Copyright © held by the author; distribution rights International Foundation for Telemetering
Collection Information:
Proceedings 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.
Publisher:
International Foundation for Telemetering
Journal:
International Telemetering Conference Proceedings
Abstract:
Merging 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.
Sponsors:
International Foundation for Telemetering
ISSN:
0884-5123; 0074-9079
Additional Links:
http://www.telemetry.org/

Full metadata record

DC FieldValue Language
dc.language.isoen_USen
dc.titleMerging Multiple Telemetry Files from Widely Separated Sources for Improved Data Integrityen_US
dc.contributor.authorEndress, Williamen
dc.contributor.departmentRaytheon Missile Systemsen
dc.date.issued2012-10en
dc.rightsCopyright © held by the author; distribution rights International Foundation for Telemeteringen_US
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
dc.publisherInternational Foundation for Telemeteringen
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.en
dc.description.sponsorshipInternational Foundation for Telemeteringen
dc.identifier.issn0884-5123en
dc.identifier.issn0074-9079en
dc.identifier.urihttp://hdl.handle.net/10150/581824en
dc.identifier.journalInternational Telemetering Conference Proceedingsen
dc.typetexten
dc.typeProceedingsen
dc.relation.urlhttp://www.telemetry.org/en
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