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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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 |
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Fast Fourier Transform Windowing Functions Zero-Filling Frequency Resolution |
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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, |
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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 |
_version_ |
1718314297480708096 |