Instantaneous Frequency Estimation of Discrete Time Signals

The classical concept of instantaneous frequency, obtained by differentiating the instantaneous phase is one of the most used approaches. Nonlinear signals usually have nonlinear and nonstationary behavior. Revealing hidden properties of time discrete signals could be important in understanding s...

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Main Authors: Zoltán GERMÁN-SALLÓ, Horațiu-Ștefan GRIF
Format: Article
Language:English
Published: Editura Universităţii "Petru Maior" 2018-12-01
Series:Scientific Bulletin of the ''Petru Maior" University of Tîrgu Mureș
Subjects:
Online Access:http://scientificbulletin.upm.ro/papers/2018-2/2_Instantaneous_frequency_German_final_cu%20antet.pdf
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spelling doaj-77d99cf261e14c51b7bb85098e1d5c092020-11-24T21:49:16ZengEditura Universităţii "Petru Maior"Scientific Bulletin of the ''Petru Maior" University of Tîrgu Mureș1841-92672285-438X2018-12-0115 (XXXII)2912Instantaneous Frequency Estimation of Discrete Time Signals Zoltán GERMÁN-SALLÓ0Horațiu-Ștefan GRIF1University of Medicine, Pharmacy, Sciences and Technology of Tîrgu Mureș, RomaniaUniversity of Medicine, Pharmacy, Sciences and Technology of Tîrgu Mureș, RomaniaThe classical concept of instantaneous frequency, obtained by differentiating the instantaneous phase is one of the most used approaches. Nonlinear signals usually have nonlinear and nonstationary behavior. Revealing hidden properties of time discrete signals could be important in understanding specific phenomena or processes. This paper uses simulated signals to prove the utility of instantaneous frequency estimation in dedicated signal processing. The procedure is based on empirical mode decomposition of the signal into monocomponents. The Hilbert transform of these monocomponents reveals they instantaneous frequencies. There are certain mathematical requirements and limitations for signals that the proposed procedure could perform proper instantaneous frequency estimation. The used signals are artificial and the procedure is carried out in MATLAB.http://scientificbulletin.upm.ro/papers/2018-2/2_Instantaneous_frequency_German_final_cu%20antet.pdfinstantaneous frequencyempirical mode decomposition
collection DOAJ
language English
format Article
sources DOAJ
author Zoltán GERMÁN-SALLÓ
Horațiu-Ștefan GRIF
spellingShingle Zoltán GERMÁN-SALLÓ
Horațiu-Ștefan GRIF
Instantaneous Frequency Estimation of Discrete Time Signals
Scientific Bulletin of the ''Petru Maior" University of Tîrgu Mureș
instantaneous frequency
empirical mode decomposition
author_facet Zoltán GERMÁN-SALLÓ
Horațiu-Ștefan GRIF
author_sort Zoltán GERMÁN-SALLÓ
title Instantaneous Frequency Estimation of Discrete Time Signals
title_short Instantaneous Frequency Estimation of Discrete Time Signals
title_full Instantaneous Frequency Estimation of Discrete Time Signals
title_fullStr Instantaneous Frequency Estimation of Discrete Time Signals
title_full_unstemmed Instantaneous Frequency Estimation of Discrete Time Signals
title_sort instantaneous frequency estimation of discrete time signals
publisher Editura Universităţii "Petru Maior"
series Scientific Bulletin of the ''Petru Maior" University of Tîrgu Mureș
issn 1841-9267
2285-438X
publishDate 2018-12-01
description The classical concept of instantaneous frequency, obtained by differentiating the instantaneous phase is one of the most used approaches. Nonlinear signals usually have nonlinear and nonstationary behavior. Revealing hidden properties of time discrete signals could be important in understanding specific phenomena or processes. This paper uses simulated signals to prove the utility of instantaneous frequency estimation in dedicated signal processing. The procedure is based on empirical mode decomposition of the signal into monocomponents. The Hilbert transform of these monocomponents reveals they instantaneous frequencies. There are certain mathematical requirements and limitations for signals that the proposed procedure could perform proper instantaneous frequency estimation. The used signals are artificial and the procedure is carried out in MATLAB.
topic instantaneous frequency
empirical mode decomposition
url http://scientificbulletin.upm.ro/papers/2018-2/2_Instantaneous_frequency_German_final_cu%20antet.pdf
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AT horatiustefangrif instantaneousfrequencyestimationofdiscretetimesignals
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