Work

A Novel Ridge Detector for Nonstationary Multicomponent Signals: Development and Application to Robust Mode Retrieval

Year: 2021

Type: article

Abstract: Time-frequency analysis is often used to study non stationary multicomponent signals, which can be viewed as the surperposition of modes. To understand such signals, it is essential to identify the ridges associated with the modes in the time-frequency plane. As existing ridge detectors are often not enough robust to noise, we here develop a novel approach to ridge detection based on the gathering of ridge portions in the time-frequency plane, which we coin RRP-RD. Such a technique is proved to be much more robust to noise than state-of-the-art methods based on the same framework, and we also demonstrate its benefits for mode retrieval.

Source: IEEE Transactions on Signal Processing

DOI: 10.1109/tsp.2021.3085113

Authors: Nils Laurent, Sylvain Meignen

Institution: Laboratoire Jean Kuntzmann

Language: English

Topic: Mathematical Analysis and Transform Methods

Subfield: Applied Mathematics

Field: Mathematics

Domain: Physical Sciences

Open Access status: green

Funder: Agence Nationale de la Recherche

Award: Analysis and Separation of Complex signals: Exploiting the Time-frequency structure