Persistent Link:
http://hdl.handle.net/10150/611434
Title:
Lossless Compression of Telemetry Data
Author:
Açikel, Ömer Fatih; Ryan, William E.
Affiliation:
New Mexico State University
Issue Date:
1996-10
Rights:
Copyright © 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:
Sandia National Laboratories is faced with the problem of losslessly compressing digitized data produced by various measurement transducers. Their interest is in compressing the data as it is created, i.e., in real time. In this work we examine a number of lossless compression schemes with an eye toward their compression efficiencies and compression speeds. The various algorithms are applied to data files supplied by Sandia containing actual vibration data.
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.titleLossless Compression of Telemetry Dataen_US
dc.contributor.authorAçikel, Ömer Fatihen
dc.contributor.authorRyan, William E.en
dc.contributor.departmentNew Mexico State Universityen
dc.date.issued1996-10-
dc.rightsCopyright © International Foundation for Telemeteringen
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
dc.publisherInternational Foundation for Telemeteringen
dc.description.abstractSandia National Laboratories is faced with the problem of losslessly compressing digitized data produced by various measurement transducers. Their interest is in compressing the data as it is created, i.e., in real time. In this work we examine a number of lossless compression schemes with an eye toward their compression efficiencies and compression speeds. The various algorithms are applied to data files supplied by Sandia containing actual vibration data.en
dc.description.sponsorshipInternational Foundation for Telemeteringen
dc.identifier.issn0884-5123-
dc.identifier.issn0074-9079-
dc.identifier.urihttp://hdl.handle.net/10150/611434-
dc.identifier.journalInternational Telemetering Conference Proceedingsen
dc.typetexten
dc.typeProceedingsen
dc.relation.urlhttp://www.telemetry.org/en
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