Method of estimation of frequency variation relying on estimation of shift of spectral peaks

Problem of estimation of variated frequency of components of polyharmonic signals has been arose. Three-dimensional time-frequency representation of signals is usually used to resolve this problem. But simple and reliable method of instantaneous frequency tracking is needed. Frequency tracking metho...

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Main Authors: D. A. Kechik, Yu. P. Aslamov, I. G. Davydov
Format: Article
Language:English
Published: Belarusian National Technical University 2021-04-01
Series:Системный анализ и прикладная информатика
Subjects:
Online Access:https://sapi.bntu.by/jour/article/view/503
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author D. A. Kechik
Yu. P. Aslamov
I. G. Davydov
author_facet D. A. Kechik
Yu. P. Aslamov
I. G. Davydov
author_sort D. A. Kechik
collection DOAJ
description Problem of estimation of variated frequency of components of polyharmonic signals has been arose. Three-dimensional time-frequency representation of signals is usually used to resolve this problem. But simple and reliable method of instantaneous frequency tracking is needed. Frequency tracking method based on estimation of shifts of peaks of spectrogram has been proposed in this paper. It is assumed that shift of spectral peaks of components of signal is proportional to variation of fundamental frequency. Logarithmic scaling of time-frequency representation is used to make spectral peaks equidistant. Temporal dependence of shift of spectral maximums is obtained using correlation of windowed spectrum at the first frame and spectrum of signal in the current window. Then obtained track is translated in linear scale. Proposed method does not estimate values of instantaneous frequency or central frequency of signal component but estimates its variation. Advantage of the method is that it can estimate frequency track even if range of frequency variation and its central value are known roughly or unknown at all. Multiple components do not interfere to estimate fundamental frequency variation. Reduction of bandwidth is recommended to increase accuracy of frequency track estimation, but analysis of time-frequency representation containing a few components is also possible. Dependency of performance of analysis of synthetic signals using the method on various signal to noise ratios under different conditions was estimated. Applicability of the method for vibrational diagnosing of rotary equipment was checked out using spectral interference method.
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series Системный анализ и прикладная информатика
spelling doaj-art-07af16640f4b41fba19ef12370df010a2025-08-20T03:59:45ZengBelarusian National Technical UniversityСистемный анализ и прикладная информатика2309-49232414-04812021-04-0101536110.21122/2309-4923-2021-1-53-61379Method of estimation of frequency variation relying on estimation of shift of spectral peaksD. A. Kechik0Yu. P. Aslamov1I. G. Davydov2Belarusian State University of Informatics and RadioelectronicsBelarusian State University of Informatics and RadioelectronicsBelarusian State University of Informatics and RadioelectronicsProblem of estimation of variated frequency of components of polyharmonic signals has been arose. Three-dimensional time-frequency representation of signals is usually used to resolve this problem. But simple and reliable method of instantaneous frequency tracking is needed. Frequency tracking method based on estimation of shifts of peaks of spectrogram has been proposed in this paper. It is assumed that shift of spectral peaks of components of signal is proportional to variation of fundamental frequency. Logarithmic scaling of time-frequency representation is used to make spectral peaks equidistant. Temporal dependence of shift of spectral maximums is obtained using correlation of windowed spectrum at the first frame and spectrum of signal in the current window. Then obtained track is translated in linear scale. Proposed method does not estimate values of instantaneous frequency or central frequency of signal component but estimates its variation. Advantage of the method is that it can estimate frequency track even if range of frequency variation and its central value are known roughly or unknown at all. Multiple components do not interfere to estimate fundamental frequency variation. Reduction of bandwidth is recommended to increase accuracy of frequency track estimation, but analysis of time-frequency representation containing a few components is also possible. Dependency of performance of analysis of synthetic signals using the method on various signal to noise ratios under different conditions was estimated. Applicability of the method for vibrational diagnosing of rotary equipment was checked out using spectral interference method.https://sapi.bntu.by/jour/article/view/503instantaneous frequencywaveletsspectrogramcorrelation functionfrequency trackingfrequency estimationfundamental frequency
spellingShingle D. A. Kechik
Yu. P. Aslamov
I. G. Davydov
Method of estimation of frequency variation relying on estimation of shift of spectral peaks
Системный анализ и прикладная информатика
instantaneous frequency
wavelets
spectrogram
correlation function
frequency tracking
frequency estimation
fundamental frequency
title Method of estimation of frequency variation relying on estimation of shift of spectral peaks
title_full Method of estimation of frequency variation relying on estimation of shift of spectral peaks
title_fullStr Method of estimation of frequency variation relying on estimation of shift of spectral peaks
title_full_unstemmed Method of estimation of frequency variation relying on estimation of shift of spectral peaks
title_short Method of estimation of frequency variation relying on estimation of shift of spectral peaks
title_sort method of estimation of frequency variation relying on estimation of shift of spectral peaks
topic instantaneous frequency
wavelets
spectrogram
correlation function
frequency tracking
frequency estimation
fundamental frequency
url https://sapi.bntu.by/jour/article/view/503
work_keys_str_mv AT dakechik methodofestimationoffrequencyvariationrelyingonestimationofshiftofspectralpeaks
AT yupaslamov methodofestimationoffrequencyvariationrelyingonestimationofshiftofspectralpeaks
AT igdavydov methodofestimationoffrequencyvariationrelyingonestimationofshiftofspectralpeaks