@inproceedings{77920c9e03b343f08185c76c3ae4d342,
title = "Fully adaptive mode decomposition from time-frequency ridges",
abstract = "In this paper, we consider ridge detection for multicomponent signal analysis. We introduce a new ridge detector based on a projection of the reassignment vector in a specific direction which is related to the geometry of the spectrogram magnitude. The ridge definition we introduce enables that of the basin of attraction associated with a ridge and then mode reconstruction. Simulations show better concentration of the information on the ridges obtained by our method compared to other existing ridge detectors that also make use of the reassignment vector.",
keywords = "AM/FM, multicomponent signals, reassignment, ridges, short-time Fourier transform, time-frequency",
author = "Sylvain Meignen and T. Oberlin and Stephen McLaughlin",
year = "2017",
month = jun,
day = "19",
doi = "10.1109/ICASSP.2017.7952884",
language = "English",
series = "IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)",
publisher = "IEEE",
pages = "3884--3888",
booktitle = "2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)",
address = "United States",
note = "42nd IEEE International Conference on Acoustics, Speech, and Signal Processing 2017, ICASSP 2017 ; Conference date: 05-03-2017 Through 09-03-2017",
}