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dc.contributor.authorGonsalves, Robert A.
dc.contributor.authorEvans, Norman E.
dc.contributor.authorShea, Alicia
dc.date.accessioned2016-05-18T22:50:31Z
dc.date.available2016-05-18T22:50:31Z
dc.date.issued1978-11
dc.identifier.issn0884-5123
dc.identifier.issn0074-9079
dc.identifier.urihttp://hdl.handle.net/10150/609764
dc.descriptionInternational Telemetering Conference Proceedings / November 14-16, 1978 / Hyatt House Hotel, Los Angeles, Californiaen_US
dc.description.abstractWe present a technique to compress M-bit data to N-bit data with a bounded error between the original and de-compressed data. The bounded error is established by quantizing the error signal of DPCM and by entropy encoding the quantized error. The fixed data rate is maintained by non-linear adaptation of the quantization interval on an intermittent basis. Examples of image data compression are given.
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.titleBounded Error Data Compression at Constant Rateen_US
dc.typetexten
dc.typeProceedingsen
dc.contributor.departmentEIKONIX 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.dateFOA2018-06-29T19:48:14Z
html.description.abstractWe present a technique to compress M-bit data to N-bit data with a bounded error between the original and de-compressed data. The bounded error is established by quantizing the error signal of DPCM and by entropy encoding the quantized error. The fixed data rate is maintained by non-linear adaptation of the quantization interval on an intermittent basis. Examples of image data compression are given.


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