info:eu-repo/semantics/article
Fully Adaptive Ridge Detection Based on STFT Phase Information
Fecha
2020-04Registro en:
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
1070-9908
CONICET Digital
CONICET
Autor
Colominas, Marcelo Alejandro
Kuppel, Sylvain
Pham, Duong-Hung
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.