Persistent Link:
http://hdl.handle.net/10150/613797
Title:
USING THE FFT FOR DSP SPECTRUM ANALYSIS: A TELEMETRY ENGINEERING APPROACH
Author:
Rosenthal, Glenn; Salley, Thomas
Affiliation:
Metraplex Corporation
Issue Date:
1990-11
Rights:
Copyright © International Foundation for Telemetering
Collection Information:
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.
Publisher:
International Foundation for Telemetering
Journal:
International Telemetering Conference Proceedings
Abstract:
The Fast Fourier Transform (FFT) converts digitally sampled time domain data into the frequency domain. This paper will provide an advanced introduction for the telemetry engineer to basic FFT theory and then present and explain the different user preprocessing options that are available when using the FFT. These options include: using windowing functions, “zero filling” for frequency data interpolation, and setting the frequency resolution of the FFT resultant spectrum,
Keywords:
Fast Fourier Transform; Windowing Functions; Zero-Filling; Frequency Resolution
Sponsors:
International Foundation for Telemetering
ISSN:
0884-5123; 0074-9079
Additional Links:
http://www.telemetry.org/

Full metadata record

DC FieldValue Language
dc.language.isoen_USen
dc.titleUSING THE FFT FOR DSP SPECTRUM ANALYSIS: A TELEMETRY ENGINEERING APPROACHen_US
dc.contributor.authorRosenthal, Glennen
dc.contributor.authorSalley, Thomasen
dc.contributor.departmentMetraplex Corporationen
dc.date.issued1990-11-
dc.rightsCopyright © International Foundation for Telemeteringen
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
dc.publisherInternational Foundation for Telemeteringen
dc.description.abstractThe Fast Fourier Transform (FFT) converts digitally sampled time domain data into the frequency domain. This paper will provide an advanced introduction for the telemetry engineer to basic FFT theory and then present and explain the different user preprocessing options that are available when using the FFT. These options include: using windowing functions, “zero filling” for frequency data interpolation, and setting the frequency resolution of the FFT resultant spectrum,en
dc.subjectFast Fourier Transformen
dc.subjectWindowing Functionsen
dc.subjectZero-Fillingen
dc.subjectFrequency Resolutionen
dc.description.sponsorshipInternational Foundation for Telemeteringen
dc.identifier.issn0884-5123-
dc.identifier.issn0074-9079-
dc.identifier.urihttp://hdl.handle.net/10150/613797-
dc.identifier.journalInternational Telemetering Conference Proceedingsen
dc.typetexten
dc.typeProceedingsen
dc.relation.urlhttp://www.telemetry.org/en
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