USING THE FFT FOR DSP SPECTRUM ANALYSIS: A TELEMETRY ENGINEERING APPROACH

International Telemetering Conference Proceedings / October 29-November 02, 1990 / Riviera Hotel and Convention Center, Las Vegas, Nevada === The Fast Fourier Transform (FFT) converts digitally sampled time domain data into the frequency domain. This paper will provide an advanced introduction for t...

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Bibliographic Details
Main Authors: Rosenthal, Glenn, Salley, Thomas
Other Authors: Metraplex Corporation
Language:en_US
Published: International Foundation for Telemetering 1990
Subjects:
Online Access:http://hdl.handle.net/10150/613797
http://arizona.openrepository.com/arizona/handle/10150/613797
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spelling ndltd-arizona.edu-oai-arizona.openrepository.com-10150-6137972016-06-22T03:01:23Z USING THE FFT FOR DSP SPECTRUM ANALYSIS: A TELEMETRY ENGINEERING APPROACH Rosenthal, Glenn Salley, Thomas Metraplex Corporation Fast Fourier Transform Windowing Functions Zero-Filling Frequency Resolution International Telemetering Conference Proceedings / October 29-November 02, 1990 / Riviera Hotel and Convention Center, Las Vegas, Nevada 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, 1990-11 text Proceedings 0884-5123 0074-9079 http://hdl.handle.net/10150/613797 http://arizona.openrepository.com/arizona/handle/10150/613797 International Telemetering Conference Proceedings en_US http://www.telemetry.org/ Copyright © International Foundation for Telemetering International Foundation for Telemetering
collection NDLTD
language en_US
sources NDLTD
topic Fast Fourier Transform
Windowing Functions
Zero-Filling
Frequency Resolution
spellingShingle Fast Fourier Transform
Windowing Functions
Zero-Filling
Frequency Resolution
Rosenthal, Glenn
Salley, Thomas
USING THE FFT FOR DSP SPECTRUM ANALYSIS: A TELEMETRY ENGINEERING APPROACH
description International Telemetering Conference Proceedings / October 29-November 02, 1990 / Riviera Hotel and Convention Center, Las Vegas, Nevada === 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,
author2 Metraplex Corporation
author_facet Metraplex Corporation
Rosenthal, Glenn
Salley, Thomas
author Rosenthal, Glenn
Salley, Thomas
author_sort Rosenthal, Glenn
title USING THE FFT FOR DSP SPECTRUM ANALYSIS: A TELEMETRY ENGINEERING APPROACH
title_short USING THE FFT FOR DSP SPECTRUM ANALYSIS: A TELEMETRY ENGINEERING APPROACH
title_full USING THE FFT FOR DSP SPECTRUM ANALYSIS: A TELEMETRY ENGINEERING APPROACH
title_fullStr USING THE FFT FOR DSP SPECTRUM ANALYSIS: A TELEMETRY ENGINEERING APPROACH
title_full_unstemmed USING THE FFT FOR DSP SPECTRUM ANALYSIS: A TELEMETRY ENGINEERING APPROACH
title_sort using the fft for dsp spectrum analysis: a telemetry engineering approach
publisher International Foundation for Telemetering
publishDate 1990
url http://hdl.handle.net/10150/613797
http://arizona.openrepository.com/arizona/handle/10150/613797
work_keys_str_mv AT rosenthalglenn usingthefftfordspspectrumanalysisatelemetryengineeringapproach
AT salleythomas usingthefftfordspspectrumanalysisatelemetryengineeringapproach
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