HOW DO YOU DEFINE BANDWIDTH?
dc.contributor.author | Scholtz, R. A. | |
dc.date.accessioned | 2016-04-15T18:15:18Z | en |
dc.date.available | 2016-04-15T18:15:18Z | en |
dc.date.issued | 1972-10 | en |
dc.identifier.issn | 0884-5123 | en |
dc.identifier.issn | 0074-9079 | en |
dc.identifier.uri | http://hdl.handle.net/10150/605545 | en |
dc.description | International Telemetering Conference Proceedings / October 10-12, 1972 / International Hotel, Los Angeles, California | en_US |
dc.description.abstract | All 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.sponsorship | International Foundation for Telemetering | en |
dc.language.iso | en_US | en |
dc.publisher | International Foundation for Telemetering | en |
dc.relation.url | http://www.telemetry.org/ | en |
dc.rights | Copyright © International Foundation for Telemetering | en |
dc.title | HOW DO YOU DEFINE BANDWIDTH? | en_US |
dc.type | text | en |
dc.type | Proceedings | en |
dc.identifier.journal | International Telemetering Conference Proceedings | en |
dc.description.collectioninformation | Proceedings 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.dateFOA | 2018-04-26T09:48:35Z | |
html.description.abstract | All 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. |