FASER: Fault-affected signal energy ratio for fault diagnosis of gearboxes under repetitive operating conditions

K Na, Y Kim, H Yoon, BD Youn - Expert Systems with Applications, 2024 - Elsevier
Vibration signal analysis is crucial for gearbox fault diagnosis, yet its inherent stochastic
nature can challenge the identification of fault-induced changes amidst signal variability …

Unsupervised classification of the spectrogram zeros with an application to signal detection and denoising

JM Miramont, F Auger, MA Colominas, N Laurent… - Signal Processing, 2024 - Elsevier
Spectrogram zeros, originated by the destructive interference between the components of a
signal in the time–frequency plane, have proven to be a relevant feature to describe the time …

Time-frequency transforms of white noises and Gaussian analytic functions

R Bardenet, A Hardy - Applied and computational harmonic analysis, 2021 - Elsevier
A family of Gaussian analytic functions (GAFs) has recently been linked to the Gabor
transform of Gaussian white noises [4]. This answered pioneering work by Flandrin [10], who …

On local chirp rate estimation in noisy multicomponent signals: With an application to mode reconstruction

N Laurent, MA Colominas… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In this paper, our goal is to investigate local chirp rate (CR) estimation in noisy
multicomponent signals. The focus is put on improving a specific type of local CR estimator …

From point processes to quantum optics and back

R Bardenet, A Feller, J Bouttier, P Degiovanni… - arXiv preprint arXiv …, 2022 - arxiv.org
Some fifty years ago, in her seminal PhD thesis, Odile Macchi introduced permanental and
determinantal point processes. Her initial motivation was to provide models for the set of …

DLNR-SIQA: deep learning-based No-reference stitched image quality assessment

H Ullah, M Irfan, K Han, JW Lee - Sensors, 2020 - mdpi.com
Due to recent advancements in virtual reality (VR) and augmented reality (AR), the demand
for high quality immersive contents is a primary concern for production companies and …

A covariant, discrete time-frequency representation tailored for zero-based signal detection

B Pascal, R Bardenet - IEEE Transactions on Signal Processing, 2022 - ieeexplore.ieee.org
Recent work in time-frequency analysis proposed to switch the focus from the maxima of the
spectrogram toward its zeros, which, for signals corrupted by Gaussian noise, form a random …

Efficient computation of the zeros of the Bargmann transform under additive white noise

LA Escudero, N Feldheim, G Koliander… - Foundations of …, 2024 - Springer
We study the computation of the zero set of the Bargmann transform of a signal
contaminated with complex white noise, or, equivalently, the computation of the zeros of its …

Pseudo-Bayesian approach for robust mode detection and extraction based on the STFT

Q Legros, D Fourer - Sensors, 2022 - mdpi.com
This paper addresses the problem of disentangling nonoverlapping multicomponent signals
from their observation being possibly contaminated by external additive noise. We aim to …

Sparse off-the-grid computation of the zeros of STFT

JB Courbot, A Moukadem, B Colicchio… - IEEE Signal …, 2023 - ieeexplore.ieee.org
The Short Time Fourier Transform (STFT) of white noise present well-known properties
regarding the distribution of its zeroes. In this letter, we propose a method to locate them …