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dc.contributor.author
Meignen, Sylvain
dc.contributor.author
Pham, Duong Hung
dc.contributor.author
Colominas, Marcelo Alejandro

dc.date.available
2021-10-06T18:04:33Z
dc.date.issued
2021-01
dc.identifier.citation
Meignen, Sylvain; Pham, Duong Hung; Colominas, Marcelo Alejandro; On the use of short-time fourier transform and synchrosqueezing-based demodulation for the retrieval of the modes of multicomponent signals; Elsevier Science; Signal Processing; 178; 1-2021; 1-12
dc.identifier.issn
0165-1684
dc.identifier.uri
http://hdl.handle.net/11336/142918
dc.description.abstract
In this paper, our goal is to compare different recent time-frequency (TF) approaches to retrieve the modes of multicomponent signals (MCSs). While it is acknowledged that the synchrosqueezing transform (SST) improves the readability of the time-frequency representation (TFR) of the modes of MCSs, and that SST-based demodulation (DSST) is more efficient than SST itself for mode retrieval (MR), it is unclear whether DSST outperforms downsampled short-time Fourier transform (STFT) in that matter. The goal of the present paper is to answer this question and to propose a variant of DSST that reduces mode-mixing. The focus is put on the sensitivity of the different techniques to frequency modulation for the modes and frequency resolution.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Elsevier Science

dc.rights
info:eu-repo/semantics/restrictedAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.subject
AM/FM MULTICOMPONENT SIGNALS
dc.subject
DOWNSAMPLED SHORT-TIME FOURIER TRANSFORM
dc.subject
MODE RETRIEVAL
dc.subject
SYNCHROSQUEEZING
dc.subject
SYNCHROSQUEEZING-BASED DEMODULATION
dc.subject
TIME-FREQUENCY ANALYSIS
dc.subject.classification
Otras Ingeniería Eléctrica, Ingeniería Electrónica e Ingeniería de la Información

dc.subject.classification
Ingeniería Eléctrica, Ingeniería Electrónica e Ingeniería de la Información

dc.subject.classification
INGENIERÍAS Y TECNOLOGÍAS

dc.title
On the use of short-time fourier transform and synchrosqueezing-based demodulation for the retrieval of the modes of multicomponent signals
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2021-09-07T14:09:00Z
dc.journal.volume
178
dc.journal.pagination
1-12
dc.journal.pais
Países Bajos

dc.journal.ciudad
Amsterdam
dc.description.fil
Fil: Meignen, Sylvain. Universite Grenoble Alpes; Francia. Universitaire de Saint-Martin-d’Hères; Francia
dc.description.fil
Fil: Pham, Duong Hung. Université Paul Sabatier; Francia
dc.description.fil
Fil: Colominas, Marcelo Alejandro. Universidad Nacional de Entre Ríos. Instituto de Investigación y Desarrollo en Bioingeniería y Bioinformática - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Investigación y Desarrollo en Bioingeniería y Bioinformática; Argentina
dc.journal.title
Signal Processing

dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/abs/pii/S0165168420303030
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.sigpro.2020.107760
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