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Recasting the (Synchrosqueezed) Short-Time Fourier Transform as an Instantaneous Spectrum
In a previous work, we proposed a time-frequency analysis called instantaneous spectral analysis (ISA), which generalizes the notion of the Fourier spectrum and in which instantaneous frequency is utilized to the fullest extent. In this paper, we recast both the Fourier transform (FT) and filterbank...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9025352/ https://www.ncbi.nlm.nih.gov/pubmed/35455181 http://dx.doi.org/10.3390/e24040518 |
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author | Sandoval, Steven De Leon, Phillip L. |
author_facet | Sandoval, Steven De Leon, Phillip L. |
author_sort | Sandoval, Steven |
collection | PubMed |
description | In a previous work, we proposed a time-frequency analysis called instantaneous spectral analysis (ISA), which generalizes the notion of the Fourier spectrum and in which instantaneous frequency is utilized to the fullest extent. In this paper, we recast both the Fourier transform (FT) and filterbank (FB) interpretations of the short-time Fourier transform (STFT) as instantaneous spectra. We show that to recast the FB interpretation of STFT as an instantaneous spectrum with valid structure, frequency reassignment is a fundamental necessity, thus demonstrating that this IS is closely related to the synchrosqueezed STFT. This result provides a new theoretical motivation for the synchrosqueezed STFT. Finally, we illustrate through example the instantaneous spectra corresponding to the FT and FB interpretations of STFT using two closed-form examples. |
format | Online Article Text |
id | pubmed-9025352 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-90253522022-04-23 Recasting the (Synchrosqueezed) Short-Time Fourier Transform as an Instantaneous Spectrum Sandoval, Steven De Leon, Phillip L. Entropy (Basel) Article In a previous work, we proposed a time-frequency analysis called instantaneous spectral analysis (ISA), which generalizes the notion of the Fourier spectrum and in which instantaneous frequency is utilized to the fullest extent. In this paper, we recast both the Fourier transform (FT) and filterbank (FB) interpretations of the short-time Fourier transform (STFT) as instantaneous spectra. We show that to recast the FB interpretation of STFT as an instantaneous spectrum with valid structure, frequency reassignment is a fundamental necessity, thus demonstrating that this IS is closely related to the synchrosqueezed STFT. This result provides a new theoretical motivation for the synchrosqueezed STFT. Finally, we illustrate through example the instantaneous spectra corresponding to the FT and FB interpretations of STFT using two closed-form examples. MDPI 2022-04-06 /pmc/articles/PMC9025352/ /pubmed/35455181 http://dx.doi.org/10.3390/e24040518 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Sandoval, Steven De Leon, Phillip L. Recasting the (Synchrosqueezed) Short-Time Fourier Transform as an Instantaneous Spectrum |
title | Recasting the (Synchrosqueezed) Short-Time Fourier Transform as an Instantaneous Spectrum |
title_full | Recasting the (Synchrosqueezed) Short-Time Fourier Transform as an Instantaneous Spectrum |
title_fullStr | Recasting the (Synchrosqueezed) Short-Time Fourier Transform as an Instantaneous Spectrum |
title_full_unstemmed | Recasting the (Synchrosqueezed) Short-Time Fourier Transform as an Instantaneous Spectrum |
title_short | Recasting the (Synchrosqueezed) Short-Time Fourier Transform as an Instantaneous Spectrum |
title_sort | recasting the (synchrosqueezed) short-time fourier transform as an instantaneous spectrum |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9025352/ https://www.ncbi.nlm.nih.gov/pubmed/35455181 http://dx.doi.org/10.3390/e24040518 |
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