Zobrazeno 1 - 10
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pro vyhledávání: '"Legros, Quentin"'
Autor:
Legros, Quentin, Fourer, Dominique
This paper presents a novel approach for estimating the modes of an observed non-stationary mixture signal. A link is first established between the short-time Fourier transform and the sparse sampling theory, where the observations are modeled as a s
Externí odkaz:
http://arxiv.org/abs/2212.11343
This paper addresses the problem of estimating the modes of an observed non-stationary mixture signal in the presence of an arbitrary distributed noise. A novel Bayesian model is introduced to estimate the model parameters from the spectrogram of the
Externí odkaz:
http://arxiv.org/abs/2203.16334
Autor:
Legros, Quentin, Tachella, Julian, Tobin, Rachael, McCarthy, Aongus, Meignen, Sylvain, Buller, Gerald S., Altmann, Yoann, McLaughlin, Stephen, Davies, Michael E.
In this paper, we present a new algorithm for fast, online 3D reconstruction of dynamic scenes using times of arrival of photons recorded by single-photon detector arrays. One of the main challenges in 3D imaging using single-photon lidar in practica
Externí odkaz:
http://arxiv.org/abs/2004.09211
In this paper, we present a novel Bayesian approach for estimating spectral and range profiles from single-photon Lidar waveforms associated with single surfaces in the photon-limited regime. In contrast to classical multispectral Lidar signals, we c
Externí odkaz:
http://arxiv.org/abs/1912.06092
Akademický článek
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Autor:
Legros, Quentin1,2 (AUTHOR) quentin.legros@cirad.fr, Pontet, Célia1 (AUTHOR), Robert, Céline1 (AUTHOR)
Publikováno v:
Journal of Applied Entomology. Jun2024, p1. 16p. 8 Illustrations.
Akademický článek
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Autor:
Legros, Quentin1 (AUTHOR), Fourer, Dominique2 (AUTHOR) dominique@fourer.fr
Publikováno v:
Sensors (14248220). Jan2023, Vol. 23 Issue 1, p85. 24p.
Publikováno v:
In Signal Processing September 2019 162:268-281
Autor:
Legros, Quentin, Fourer, Dominique
Publikováno v:
29th European Signal Processing Conference (EUSIPCO 2021)
29th European Signal Processing Conference (EUSIPCO 2021), Aug 2021, Dublin, Ireland. pp.1925--1929
29th European Signal Processing Conference (EUSIPCO 2021), Aug 2021, Dublin, Ireland. pp.1925--1929
International audience; This paper introduces a novel approach for extracting the elementary components present in an observed nonstationary mixture signal. Our technique based on a pseudo-Bayesian approach operates in the time-frequency plane and se
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::014a7817306c245bde474e9ed00891d6
https://hal.archives-ouvertes.fr/hal-03259013
https://hal.archives-ouvertes.fr/hal-03259013