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dc.contributor.author
Colominas, Marcelo Alejandro  
dc.contributor.author
Kuppel, Sylvain  
dc.contributor.author
Pham, Duong-Hung  
dc.date.available
2020-06-06T23:05:04Z  
dc.date.issued
2020-04  
dc.identifier.citation
Colominas, Marcelo Alejandro; Kuppel, Sylvain; Pham, Duong-Hung; Fully Adaptive Ridge Detection Based on STFT Phase Information; Institute of Electrical and Electronics Engineers; Ieee Signal Processing Letters; 27; 4-2020; 620-624  
dc.identifier.issn
1070-9908  
dc.identifier.uri
http://hdl.handle.net/11336/106810  
dc.description.abstract
This letter deals with the problem of the estimation of the instantaneous frequencies of the modes of multicomponent signals from their linear time-frequency representations. In most approaches, such an estimation consists of extracting the ridges associated with each mode in the time-frequency plane. A major issue associated with these techniques is that ridge detection relies on some ad-hoc parameters which essentially bound the modulation of the studied modes and put some constraints on the type of filter used in the time-frequency representation. In this paper, we alternatively propose a novel fully adaptive approach for ridge detection whose relevance is shown throughout numerical simulations.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Institute of Electrical and Electronics Engineers  
dc.rights
info:eu-repo/semantics/restrictedAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
FREQUENCY MODULATION  
dc.subject
TIME-FREQUENCY ANALYSIS  
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BANDWIDTH  
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ESTIMATION  
dc.subject.classification
Otras Ingenierías y Tecnologías  
dc.subject.classification
Otras Ingenierías y Tecnologías  
dc.subject.classification
INGENIERÍAS Y TECNOLOGÍAS  
dc.title
Fully Adaptive Ridge Detection Based on STFT Phase Information  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2020-06-01T13:34:19Z  
dc.journal.volume
27  
dc.journal.pagination
620-624  
dc.journal.pais
Estados Unidos  
dc.journal.ciudad
New York  
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.description.fil
Fil: Kuppel, Sylvain. Laboratoire Jean Kutzman, Universite de Grenoble; Francia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Luis. Instituto de Matemática Aplicada de San Luis "Prof. Ezio Marchi". Universidad Nacional de San Luis. Facultad de Ciencias Físico, Matemáticas y Naturales. Instituto de Matemática Aplicada de San Luis "Prof. Ezio Marchi"; Argentina  
dc.description.fil
Fil: Pham, Duong-Hung. Irit Laboratory, Cnrs Umr 5505, Toulouse, France; Francia  
dc.journal.title
Ieee Signal Processing Letters  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://ieeexplore.ieee.org/document/9067020/  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1109/LSP.2020.2987166