The sliding singular spectrum analysis: A data-driven nonstationary signal decomposition tool

J Harmouche, D Fourer, F Auger… - IEEE Transactions …, 2017 - ieeexplore.ieee.org
Singular spectrum analysis (SSA) is a signal decomposition technique that aims at
expanding signals into interpretable and physically meaningful components (eg, sinusoids …

Time-varying characteristics of bridges under the passage of vehicles using synchroextracting transform

J Li, X Zhu, S Law, B Samali - Mechanical Systems and Signal Processing, 2020 - Elsevier
The vehicle and bridge responses in a vehicle-bridge interaction (VBI) system have been
widely studied with some aiming at the bridge health monitoring. The extraction of bridge …

Gaussian-modulated linear group delay model: Application to second-order time-reassigned synchrosqueezing transform

Z He, X Tu, W Bao, Y Hu, F Li - Signal Processing, 2020 - Elsevier
This paper considers the analysis of impulsive-like signals whose time-frequency ridge
curves are nearly perpendicular to the time axis. Although the instantaneous frequency of …

[HTML][HTML] Improved variational mode decomposition and CNN for intelligent rotating machinery fault diagnosis

Q **ao, S Li, L Zhou, W Shi - Entropy, 2022 - mdpi.com
This paper proposes an intelligent diagnosis method for rotating machinery faults based on
improved variational mode decomposition (IVMD) and CNN to process the rotating …

[HTML][HTML] On the use of concentrated time–frequency representations as input to a deep convolutional neural network: Application to non intrusive load monitoring

S Houidi, D Fourer, F Auger - Entropy, 2020 - mdpi.com
Since decades past, time–frequency (TF) analysis has demonstrated its capability to
efficiently handle non-stationary multi-component signals which are ubiquitous in a large …

Second-order time-reassigned synchrosqueezing transform: Application to draupner wave analysis

D Fourer, F Auger - 2019 27th European signal processing …, 2019 - ieeexplore.ieee.org
This paper addresses the problem of efficiently jointly representing a non-stationary
multicomponent signal in time and frequency. We introduce a novel enhancement of the …

Second-order transient-extracting transform with application to time-frequency filtering

Z He, X Tu, W Bao, Y Hu, F Li - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
This article introduces the second-order transient-extracting transform (TET2) to extract
transient components from a nonstationary signal. Different from the traditional transient …

Multipath interference removal in receivers of linear frequency modulated radar pulses

K Abratkiewicz, PJ Samczyński… - IEEE Sensors …, 2021 - ieeexplore.ieee.org
The article describes algorithms for the retrieval of linear frequency modulated (LFM) pulses
from a received signal which is corrupted by noise and multipath reflections from ground and …

Instantaneous frequency and amplitude estimation in multicomponent signals using an em-based algorithm

Q Legros, D Fourer, S Meignen… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
This paper addresses the problem of estimating the instantaneous frequency (IF) and
amplitude of the modes composing a non-stationary multicomponent signal in the presence …

Second-Order Adaptive Synchrosqueezing Transform and Its Application in Seismic Ground Roll Attenuation

Y Tao, S Cao, Y Ma, M Ma - IEEE Geoscience and Remote …, 2019 - ieeexplore.ieee.org
The time-frequency (TF) analysis always plays a major role in signal processing. In this
letter, we propose a novel TF analysis method called the second-order adaptive …