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dc.contributor.authorNg, Wai-Hung
dc.date.accessioned2016-07-05T23:34:08Z
dc.date.available2016-07-05T23:34:08Z
dc.date.issued1985-10
dc.identifier.issn0884-5123
dc.identifier.issn0074-9079
dc.identifier.urihttp://hdl.handle.net/10150/615597
dc.descriptionInternational Telemetering Conference Proceedings / October 28-31, 1985 / Riviera Hotel, Las Vegas, Nevadaen_US
dc.description.abstractFor space monitoring systems, it is necessary to compress the transmitted data to minimize the power and bandwidth requirements. Although there are many data compression techniques, here we will only discuss the sample reduction technique because it is the best candidate for cases when the signal contains many redundant samples and the resolution requirement for the reconstructed signal is very high. In this paper, we introduce a new code to further reduce the compressed signal data derived from the sample reduction technique. The main advantage of this approach is that we can minimize the transmission data rate without requiring a priori knowledge of the signal distribution property. In addition, it can also reduce the buffer size requirement. Examples are given for clarification and discussion.
dc.description.sponsorshipInternational Foundation for Telemeteringen
dc.language.isoen_USen
dc.publisherInternational Foundation for Telemeteringen
dc.relation.urlhttp://www.telemetry.org/en
dc.rightsCopyright © International Foundation for Telemeteringen
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/
dc.titleA DATA COMPRESSION TECHNIQUE FOR SPACE MONITORING SYSTEMSen_US
dc.typetexten
dc.typeProceedingsen
dc.contributor.departmentThe Aerospace Corporationen
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
refterms.dateFOA2018-06-16T10:24:46Z
html.description.abstractFor space monitoring systems, it is necessary to compress the transmitted data to minimize the power and bandwidth requirements. Although there are many data compression techniques, here we will only discuss the sample reduction technique because it is the best candidate for cases when the signal contains many redundant samples and the resolution requirement for the reconstructed signal is very high. In this paper, we introduce a new code to further reduce the compressed signal data derived from the sample reduction technique. The main advantage of this approach is that we can minimize the transmission data rate without requiring a priori knowledge of the signal distribution property. In addition, it can also reduce the buffer size requirement. Examples are given for clarification and discussion.


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