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dc.contributor.authorGerardi, F. R.
dc.contributor.authorOmura, J.
dc.date.accessioned2016-06-13T20:42:50Z
dc.date.available2016-06-13T20:42:50Z
dc.date.issued1982-09
dc.identifier.issn0884-5123
dc.identifier.issn0074-9079
dc.identifier.urihttp://hdl.handle.net/10150/612951
dc.descriptionInternational Telemetering Conference Proceedings / September 28-30, 1982 / Sheraton Harbor Island Hotel and Convention Center, San Diego, Californiaen_US
dc.description.abstractThis paper will present the relationship between the distortion of compressed data to the bit error rate on the channel. In most studies of data compression techniques, the communication channel is assumed to be error-free. Under this assumption, smaller distortions are generally achieved with more complex data compression techniques. Likewise, from the mathematical theory of data compression known as rate distortion theory, it is known that the minimum possible average distortion of data compression systems can be approached as the complexity or size of the source code increases.
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.titleIMPACT OF CHANNEL ERRORS ON DATA COMPRESSIONen_US
dc.typetexten
dc.typeProceedingsen
dc.contributor.departmentThe Aerospace Corporationen
dc.contributor.departmentUniversity of Californiaen
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.dateFOA2018-09-11T12:49:51Z
html.description.abstractThis paper will present the relationship between the distortion of compressed data to the bit error rate on the channel. In most studies of data compression techniques, the communication channel is assumed to be error-free. Under this assumption, smaller distortions are generally achieved with more complex data compression techniques. Likewise, from the mathematical theory of data compression known as rate distortion theory, it is known that the minimum possible average distortion of data compression systems can be approached as the complexity or size of the source code increases.


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