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dc.contributor.authorScholtz, R. A.
dc.date.accessioned2016-04-15T18:15:18Zen
dc.date.available2016-04-15T18:15:18Zen
dc.date.issued1972-10en
dc.identifier.issn0884-5123en
dc.identifier.issn0074-9079en
dc.identifier.urihttp://hdl.handle.net/10150/605545en
dc.descriptionInternational Telemetering Conference Proceedings / October 10-12, 1972 / International Hotel, Los Angeles, Californiaen_US
dc.description.abstractAll definitions of bandwidth have certain basic properties which make them true measures of "width". In this paper we show that different bandwidth measures are not interchangable, and note that bandwidth can be viewed as a measure of the number of dimensions added to the signal space per unit time. Methods of computing the transmitted power spectral density in a digital communication system are given and the dependence of the spectral density on the statistical structure of the information source is indicated by example. The paper closes with bandwidth comparison s for three common sets of binary telemetry signals.
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.titleHOW DO YOU DEFINE BANDWIDTH?en_US
dc.typetexten
dc.typeProceedingsen
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.dateFOA2018-04-26T09:48:35Z
html.description.abstractAll definitions of bandwidth have certain basic properties which make them true measures of "width". In this paper we show that different bandwidth measures are not interchangable, and note that bandwidth can be viewed as a measure of the number of dimensions added to the signal space per unit time. Methods of computing the transmitted power spectral density in a digital communication system are given and the dependence of the spectral density on the statistical structure of the information source is indicated by example. The paper closes with bandwidth comparison s for three common sets of binary telemetry signals.


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