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DATA ACQUISITION AND THE ALIASING PHENOMENON

dc.contributor.authorClaflin, Ray, III
dc.contributor.authorClaflin, Ray, III
dc.date.accessioned2016-05-02T17:41:11Zen
dc.date.available2016-05-02T17:41:11Zen
dc.date.issued2001-10en
dc.identifier.issn0884-5123en
dc.identifier.issn0074-9079en
dc.identifier.urihttp://hdl.handle.net/10150/607663en
dc.descriptionInternational Telemetering Conference Proceedings / October 22-25, 2001 / Riviera Hotel and Convention Center, Las Vegas, Nevadaen_US
dc.description.abstractIn current practice sensor data is digitized and input into computers, displays, and recorders. To try to reduce the volume of digitized data, our original hypothesis was that by selecting a subset of digital values from an over-sampled signal, we could improve signal identification and improve perhaps Nyquist performance. Our investigations did not lead to significant improvements but did clarify our thinking regarding the usage of digitized data.
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.rights.urihttp://rightsstatements.org/vocab/InC/1.0/
dc.subjectAliasingen
dc.subjectspectral peaksen
dc.subjectspectral pairsen
dc.subjectsample digitizing rateen
dc.subjectNyquist frequencyen
dc.titleDATA ACQUISITION AND THE ALIASING PHENOMENONen_US
dc.typetexten
dc.typeProceedingsen
dc.contributor.departmentCLAFLIN ASSOCIATESen
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.dateFOA2018-06-19T09:11:37Z
html.description.abstractIn current practice sensor data is digitized and input into computers, displays, and recorders. To try to reduce the volume of digitized data, our original hypothesis was that by selecting a subset of digital values from an over-sampled signal, we could improve signal identification and improve perhaps Nyquist performance. Our investigations did not lead to significant improvements but did clarify our thinking regarding the usage of digitized data.


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