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dc.contributor.authorHellman, Martin E.
dc.date.accessioned2016-05-14T01:51:59Zen
dc.date.available2016-05-14T01:51:59Zen
dc.date.issued1976-09en
dc.identifier.issn0884-5123en
dc.identifier.issn0074-9079en
dc.identifier.urihttp://hdl.handle.net/10150/609381en
dc.descriptionInternational Telemetering Conference Proceedings / September 28-30, 1976 / Hyatt House Hotel, Los Angeles, Californiaen_US
dc.description.abstractThe large volumes of raw data involved in telemetry often require compression prior to transmission over a limited data rate channel. If the transmitter is located in a remote location, power, reliability and cost considerations add the requirement that the encoder be fairly simple, while the decoder can be much more complex. A similar encoder-decoder complexity tradeoff exists if there are many sensing stations (and encoders) but only one receiving station (and decoder). This paper describes a technique which is well suited to such applications in that it places almost all of the computational burden on the decoder, and requires only an extremely simple encoder.
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.titleLow Cost Data Compressionen_US
dc.typetexten
dc.typeProceedingsen
dc.contributor.departmentStanford Universityen
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.dateFOA2018-06-24T23:36:54Z
html.description.abstractThe large volumes of raw data involved in telemetry often require compression prior to transmission over a limited data rate channel. If the transmitter is located in a remote location, power, reliability and cost considerations add the requirement that the encoder be fairly simple, while the decoder can be much more complex. A similar encoder-decoder complexity tradeoff exists if there are many sensing stations (and encoders) but only one receiving station (and decoder). This paper describes a technique which is well suited to such applications in that it places almost all of the computational burden on the decoder, and requires only an extremely simple encoder.


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