Artículo
Fully Adaptive Ridge Detection Based on STFT Phase Information
Fecha de publicación:
04/2020
Editorial:
Institute of Electrical and Electronics Engineers
Revista:
Ieee Signal Processing Letters
ISSN:
1070-9908
Idioma:
Inglés
Tipo de recurso:
Artículo publicado
Clasificación temática:
Resumen
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.
Palabras clave:
FREQUENCY MODULATION
,
TIME-FREQUENCY ANALYSIS
,
BANDWIDTH
,
ESTIMATION
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Articulos (IBB)
Articulos de INSTITUTO DE INVESTIGACION Y DESARROLLO EN BIOINGENIERIA Y BIOINFORMATICA
Articulos de INSTITUTO DE INVESTIGACION Y DESARROLLO EN BIOINGENIERIA Y BIOINFORMATICA
Citación
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
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