Fully Adaptive Ridge Detection Based on STFT Phase Information

COLOMINAS, MARCELO A.; MEIGNEN, SYLVAIN; PHAM, DUONG-HUNG

IEEE SIGNAL PROCESSING LETTERS

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC

Lugar: New York; Año: 2020 vol. 27 p. 620 - 624

1070-9908

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.